A trademark early warning method and system based on big data

Abstract

The present invention proposes a trademark early warning method and system based on big data, which searches for industrial and commercial information and trademark information and other yellow pages information published on the external network, compares and processes the industrial and commercial information and trademark information, and obtains an early warning database; screens the early warning database to obtain early warning trademarks that meet the screening and the industrial and commercial information of the subject to which the trademark belongs, and obtains target customer information; selects early warning conditions, processes early warning information on target customers, and obtains early warning customers who meet the early warning conditions; provides tracking services to early warning customers, and expands the functions of the trademark early warning platform, so that early warning customers obtain complete early warning services and feature-rich early warning service platform experience, which is used to ensure the accuracy of the trademark early warning function, and can also obtain target customers who meet the early warning conditions through screening of early warning data, help customers to conduct trademark early warnings, develop new customers and business needs, and generate more economic benefits.

Description

Technical Field

[0001] The present invention proposes a trademark early warning method and system based on big data, belonging to the technical field of big data trademark early warning. Background Art

[0002] At present, trademark warnings based on big data analysis and processing can timely discover and warn of trademark infringements, and can take timely measures against infringements of protected trademarks. However, the main direction of big data trademark warnings is currently query and management, and can only provide basic trademark warning services. However, it cannot help users conduct sales analysis or help obtain potential customers for business mining, making it difficult to give full play to the advantages of big data. Summary of the invention

[0003] The present invention provides a trademark early warning method and system based on big data, which can ensure the accuracy of the trademark early warning function, and at the same time, through the screening of early warning data, obtain target customers who meet the early warning conditions, help customers to conduct trademark early warning, develop new customers and business needs, and generate more economic benefits.

[0004] A trademark early warning method based on big data, characterized in that the method comprises:

[0005] S1. Search the industrial and commercial information, trademark information and other yellow pages information published on the external network, compare the industrial and commercial information and trademark information, and obtain the early warning database;

[0006] S2. Screening the warning database to obtain the warning trademarks that meet the screening criteria and the business information of the entities to which the trademarks belong, and obtaining target customer information;

[0007] S3. Select warning conditions, process warning information for target customers, and obtain warning customers that meet the warning conditions;

[0008] S4. Provide tracking services to early warning customers and expand the functions of the trademark early warning platform, so that early warning customers can obtain complete early warning services and a feature-rich early warning service platform experience.

[0009] Furthermore, the search of the business information, trademark information and other yellow pages information published on the external network, the comparison of the business information and trademark information, and the acquisition of the early warning database include:

[0010] S11, search the public information on the Industrial and Commercial Information Publicity Network, the Trademark Information Publicity Network and the Yellow Pages website, compare the public information keywords and then fuzzily download them to the trademark early warning platform server to obtain the external network database;

[0011] S12. Compare the industrial and commercial information data and the yellow pages information in the external network database, perform an out-of-service number detection on the contact numbers disclosed by the industrial and commercial enterprise entities through an empty number detection platform, remove the enterprise entities that cannot be contacted in the early warning database, screen the enterprise entities that are in normal business status, and obtain the industrial and commercial database of the enterprise entities that can be contacted;

[0012] S13, comparing the trademark data information in the external network database, marking the status of the trademark, searching through the early warning marking conditions in the early warning database, obtaining the trademark information that meets the early warning data conditions, and obtaining the trademark database;

[0013] S14. The trademark database is linked to the industrial and commercial database to obtain an early warning database with trademark and subject industrial and commercial information.

[0014] Furthermore, the early warning database performs a screening operation to obtain the industrial and commercial information of the early warning trademarks and the entities to which the trademarks belong that meet the screening, and obtains the target customer information, including:

[0015] S21, performing fuzzy comparison on the warning data, identifying the administrative regions of the customer entities in the database, dividing them according to provinces and cities, searching the divided regions to obtain the industrial and commercial and trademark information of the corresponding regions;

[0016] S22. In the early warning database operation interface, enter the existing service customers, and obtain all trademark information under the customer's name by comparing the customer's name with the trademark information. Existing customers can obtain accurate trademark early warning services;

[0017] S23. Search all industrial and commercial entities in the early warning database area, compare the industrial and commercial entities with the trademarks of the same entities in the trademark database, and obtain target customer information through multiple comparisons.

[0018] Further, the step of selecting early warning conditions, processing early warning information of target customers, and obtaining early warning customers that meet the early warning conditions includes:

[0019] S31. Search the early warning database, compare the customer's trademark with similar trademarks in the database, select the opposed trademark based on the comparison results, and obtain the opposed trademark information;

[0020] S32. Check the address and name information of the company that owns the trademark, filter out the information of the subject that is inconsistent with the name and address of the industrial and commercial information and the trademark information, and obtain the customer information of the changed trademark;

[0021] S33. Compare the trademarks submitted by the customer, calculate the rejection probability by using the trademark similarity comparison, and obtain the corresponding trademark application measures based on the rejection probability;

[0022] S34, comparing the trademark database, screening the trademarks in the announced state, obtaining the trademark information in the announced state, and generating the announced trademark database;

[0023] S35, comparing the trademark database, screening rejected trademarks, obtaining rejected trademark information, and generating a rejected trademark database;

[0024] S36. Monitor all trademarks under the customer's name, screen trademarks whose protection period has expired, obtain information on customers whose trademarks have been renewed, and generate a database of customers whose trademarks have been renewed.

[0025] Furthermore, the aforementioned tracking service is provided to the early warning customers, and the functions of the trademark early warning platform are expanded, so that the early warning customers can obtain a complete early warning service and a feature-rich early warning service platform experience, including:

[0026] S41. Allocate the customer with the obtained trademark warning information to a designated employee account. All trademark business under the customer's name will be followed up by the designated employee account. After each follow-up, the follow-up record and results will be obtained and the next follow-up time will be set;

[0027] S42. Assess the risk level of the customers being followed up, and send follow-up reminders to the employee account based on the customer's activity level;

[0028] S43. Follow up on the trademark cases of the clients we follow up on. When a trademark case is lost, analyze the client’s historical cooperation record and risk level assessment to remind the client of the loss and take measures to recover the lost client;

[0029] S44. Authorize and register trademarks that can be sold, and display them in the joint operation center of the trademark early warning platform. By searching by category and keyword, the trademarks that are normally sold can be screened, and customers who need trademarks can obtain the information on the trademarks for sale;

[0030] S45, customizing the amount of information per page displayed by the search to adapt to the operation habits of different amounts of content, counting the data downloaded, and obtaining the remaining amount of data downloaded by the platform;

[0031] S46. The trademark early warning platform has a sales training and business popularization section, regularly updates videos or articles, and obtains the trademark early warning platform information learning section;

[0032] S47. The trademark warning platform obtains the changed mobile phone number and password through mobile phone verification and confirmation, and the trademark warning data is securely protected.

[0033] A trademark early warning system based on big data, the system comprising:

[0034] The early warning data collection module is used to search the industrial and commercial information, trademark information and other yellow pages information published on the external network, compare and process the industrial and commercial information and trademark information, and obtain the early warning database;

[0035] A regional customer screening module is used to screen the warning database, obtain the warning trademarks that meet the screening requirements and the business information of the entities to which the trademarks belong, and obtain target customer information;

[0036] The early warning condition processing module is used to select early warning conditions, process early warning information for target customers, and obtain early warning customers that meet the early warning conditions;

[0037] The early warning customer service module is used to provide tracking services to early warning customers and expand the functions of the trademark early warning platform. Early warning customers receive comprehensive early warning services and a feature-rich early warning service platform experience.

[0038] Further, the early warning data collection module includes:

[0039] The external network collection module is used to search the public information of the industrial and commercial information disclosure network, the trademark information disclosure network and the yellow page website, and fuzzily download the public information to the trademark early warning platform server after matching the keywords to obtain the external network database;

[0040] The industrial and commercial data module is used to compare the industrial and commercial information data and the yellow pages information in the external network database, perform an empty number shutdown detection on the contact numbers disclosed by the industrial and commercial enterprise entities through the empty number detection platform, remove the enterprise entities that cannot be contacted in the early warning database, screen the enterprise entities with normal business status, and obtain the industrial and commercial database of the enterprise entities that can be contacted;

[0041] The trademark data module is used to compare the trademark data information in the external network database, mark the status of the trademark, search through the early warning marking conditions in the early warning database, obtain the trademark information that meets the early warning data conditions, and obtain the trademark database;

[0042] The early warning data module is used to associate the trademark database with the industrial and commercial database to obtain an early warning database with trademark and subject industrial and commercial information.

[0043] Further, the regional customer screening module includes:

[0044] The regional division module is used to perform fuzzy comparison on the warning data, identify the administrative regions of the customer entities in the database, divide them according to provinces and cities, and search the divided regions to obtain the industrial and commercial and trademark information of the corresponding regions;

[0045] The customer import module is used to enter existing service customers in the early warning database operation interface, and obtain all trademark information under the customer's name by comparing the customer's name with the trademark information. Existing customers can obtain accurate trademark early warning services;

[0046] The target screening module is used to search all industrial and commercial entities in the early warning database area, compare the industrial and commercial entities with the trademarks of the same entities in the trademark database, and obtain target customer information through multiple comparisons.

[0047] Furthermore, the warning condition processing module includes:

[0048] The objection prediction module is used to search the early warning database, compare the customer's trademark with similar trademarks in the database, select the objection trademark based on the comparison results, and obtain the objection trademark information;

[0049] The industrial and commercial change module detects the address and name information of the company that owns the trademark, filters out the subject information whose industrial and commercial information is inconsistent with the name and address of the trademark information, and obtains the customer information of the changed trademark;

[0050] The rejection prediction module is used to compare the trademarks submitted by customers, calculate the rejection probability by using the trademark similarity comparison, and obtain the corresponding trademark application measures based on the rejection probability;

[0051] The announcement delivery module is used to compare the trademark database, screen the trademarks in the announcement status, obtain the trademark information in the announcement status, and generate the announcement trademark database;

[0052] The rejection review module is used to compare the trademark database, screen rejected trademarks, obtain rejected trademark information, and generate a rejected trademark database;

[0053] The trademark renewal module is used to monitor all trademarks under the customer's name, screen trademarks whose protection period has expired, obtain trademark extension customer information, and generate a trademark extension customer database.

[0054] Further, the early warning customer service module includes:

[0055] The allocation and follow-up module is used to allocate the customers with trademark warning information to designated employee accounts. All trademark businesses under the customer's name are followed up by the designated employee account. After each follow-up, the follow-up records and results are obtained and the next follow-up time is set;

[0056] The risk reminder module is used to classify the risk level of the followed customers and send follow-up reminders to the employee account based on the customer's activity;

[0057] The churn analysis module is used to follow up on the trademark cases of the customers. When a trademark case is lost, the module analyzes the customer's historical cooperation records and risk level assessment to remind customers of the loss and take measures to recover the lost customers.

[0058] The trademark sales module is used to authorize and register trademarks that can be sold, and display them in the trademark early warning platform joint operation center. By searching by category and keyword, the trademarks that are normally sold can be screened, and customers who need trademarks can obtain information on trademarks for sale;

[0059] Set the download module, which is used to customize the number of information per page displayed by the search, adapt to the operation habits of different amounts of content, count the data downloaded, and obtain the remaining data downloaded by the platform;

[0060] The platform learning module is used to set up sales training and business popularization sections on the trademark early warning platform, regularly update videos or articles, and obtain information learning sections on the trademark early warning platform;

[0061] The security setting module is used to verify and confirm the changed mobile phone number and password through mobile phone verification, and the trademark warning data is safely protected.

[0062] The beneficial effects of the present invention are as follows: a large amount of industrial and commercial information and trademark information can be obtained through the early warning database, and by performing comparison processing on the early warning database, a large amount of invalid and unusable trademark information and industrial and commercial information can be filtered out, thereby reducing unnecessary traffic expenses; accurate comparison results can be obtained through keyword search and comparison, saving a large amount of download traffic; the filtered results show that the keyword part can be downloaded as needed, reducing the pressure on server data storage and facilitating the calculation of system package data usage; appropriate early warning results can be obtained through different screening conditions, and standard and qualified early warning services can be provided to existing customers, thereby ensuring the safety of customer brands themselves and avoiding potential brand risks. Through professional services, it is easier to It is easy to gain favor from enterprises and enhance the competitiveness of customers' brands; for unfamiliar customers, reminders can be added through early warning condition screening, and customers can be impressed by services, making it easier to develop new customers; the screening results obtained through various early warning conditions can bring a large amount of trademark business and accurate business goals; through tracking and analyzing customer services, the most appropriate marketing measures can be made to maximize economic benefits; at the same time, the functions of the trademark early warning platform are further expanded, and the humanization of the function settings can facilitate the operation of the trademark early warning platform. The update of the accompanying learning videos can help improve the experience level of business personnel, and the launch of a special column for trademark trading can provide customers with one-stop trademark services. Real-time verification of the verification code can ensure the information security of the early warning operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 is a flow chart of the method of the present invention;

[0064] Figure 2 The system block diagram of the system of the present invention. DETAILED DESCRIPTION

[0065] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0066] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. The embodiments described are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0067] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used in the specification of the present invention herein are only for the purpose of describing specific embodiments and are not intended to limit the present invention.

[0068] In one embodiment of the present invention, the method adopted includes:

[0069] S1. Search the industrial and commercial information, trademark information and other yellow pages information published on the external network, compare the industrial and commercial information and trademark information, and obtain the early warning database;

[0070] S2. Screening the early warning database to obtain the industrial and commercial information of the early warning trademarks and the entities to which the trademarks belong that meet the screening criteria, and obtaining target customer information;

[0071] S3. Select warning conditions, process warning information for target customers, and obtain warning customers that meet the warning conditions;

[0072] S4. Provide tracking services to early warning customers and expand the functions of the trademark early warning platform, so that early warning customers can obtain complete early warning services and a feature-rich early warning service platform experience.

[0073] The working principle of the above technical solution is:

[0074] First, search for the business information, trademark information and other yellow pages information published on the external network, compare and process the business information and trademark information, and obtain an early warning database; then, screen the early warning database to obtain the early warning trademarks that meet the screening and the business information of the trademark owners, and obtain the target customer information; secondly, select the early warning conditions, process the early warning information of the target customers, and obtain the early warning customers who meet the early warning conditions; finally, provide tracking services to the early warning customers, and expand the functions of the trademark early warning platform, so that the early warning customers can obtain complete early warning services and a feature-rich early warning service platform experience.

[0075] The effects of the above technical solution are:

[0076] Through the public information on the external network and the yellow pages information, a comprehensive early warning database can be obtained. Through comparative processing, an early warning database with actual value can be obtained. It can be screened among many external network data to obtain a large amount of effective early warning data content. The early warning database after comparative processing is true and accurate, and can provide a good data basis for subsequent business development. By cross-screening the trademark information and industrial and commercial information in the early warning database, it is possible to obtain information on companies without trademarks and all trademark information under the name of companies with trademarks, and the direction of business development can be obtained based on the information. Through early warning condition screening, high-quality trademark early warning services can be provided to existing customers. At the same time, a large number of potential customers who meet the pre-selected conditions can be screened out through early warning conditions. By tracking and developing potential customers, they can be developed into new customers, and business mining can be carried out on various trademarks of customers that meet the early warning conditions to obtain obvious economic benefits. At the same time, through tracking and analyzing customer service, the most appropriate marketing measures can be made to obtain the maximum economic benefits. At the same time, the functions of the trademark early warning platform are further expanded, and the humanized function settings facilitate the operation of the trademark early warning platform, bringing a comfortable operating experience. At the same time, the improvement of the functions of the trademark early warning platform can enable the platform to handle most business activities related to trademarks.

[0077] An embodiment of the present invention searches for business information and trademark information and other yellow pages information published on the external network, compares the business information and trademark information, and obtains an early warning database, including:

[0078] S11, search the public information on the Industrial and Commercial Information Publicity Network, the Trademark Information Publicity Network and the Yellow Pages website, compare the public information keywords and then fuzzily download them to the trademark early warning platform server to obtain the external network database;

[0079] S12. Compare the industrial and commercial information data and the yellow pages information in the external network database, perform an out-of-service number detection on the contact numbers disclosed by the industrial and commercial enterprise entities through an empty number detection platform, remove the enterprise entities that cannot be contacted in the early warning database, screen the enterprise entities that are in normal business status, and obtain the industrial and commercial database of the enterprise entities that can be contacted;

[0080] S13, comparing the trademark data information in the external network database, marking the status of the trademark, searching through the early warning marking conditions in the early warning database, obtaining the trademark information that meets the early warning data conditions, and obtaining the trademark database;

[0081] S14. The trademark database is linked to the industrial and commercial database to obtain an early warning database with trademark and subject industrial and commercial information.

[0082] The working principle of the above technical solution is:

[0083] First, search for publicly disclosed information on the industrial and commercial information disclosure network, the trademark information disclosure network and the yellow pages website, compare the keywords of the public information and then download it fuzzily to the trademark early warning platform server. The keyword range includes the name of the entity, the province and city where the entity is located, the business status of the entity and the contact information of the entity. Extract the keyword information and leave the original link to obtain the external network database; then, compare the industrial and commercial information data and yellow pages information in the external network database, perform an empty number shutdown detection on the contact numbers disclosed by the industrial and commercial enterprise entities through the empty number detection platform, remove the corporate entities that cannot be contacted in the early warning database, screen the corporate entities with normal business status, and obtain the industrial and commercial database of the corporate entities that can be contacted; then, compare the trademark data information in the external network database, mark the status of the trademark, search through the early warning mark conditions in the early warning database, obtain the trademark information that meets the early warning data conditions, and obtain the trademark database; finally, associate the trademark database with the industrial and commercial database to obtain the early warning database with trademarks and main industrial and commercial information.

[0084] The effects of the above technical solution are:

[0085] By searching the entire network for public information, all external network information related to industry and commerce and trademarks can be obtained. At the same time, fuzzy downloading of external network information keywords to the database can ensure the validity of the information while reducing traffic consumption, speeding up search efficiency, and quickly obtaining updated external network databases; by obtaining the industrial and commercial database, the business entities that are operating normally can be screened out, and at the same time, the companies that cannot be contacted can be screened out through the detection of empty numbers and shutdowns, which can ensure that the companies in the industrial and commercial database can be called and contacted, and can provide business personnel with accurate corporate methods, bringing convenience to business development; by obtaining the trademark database, the trademark status information can be marked, and the corresponding marked trademark can be obtained by using the marked search; through the different association methods between the trademark database and the industrial and commercial data, various accurate early warning databases can be obtained, and the early warning databases in different directions can provide accurate reference basis for trademark applications and trademark protection.

[0086] In one embodiment of the present invention, the early warning database is screened to obtain the industrial and commercial information of the early warning trademarks and the entities to which the trademarks belong that meet the screening requirements, and to obtain the target customer information, including:

[0087] S21, performing fuzzy comparison on the warning data, identifying the administrative regions of the customer entities in the database, dividing them according to provinces and cities, searching the divided regions to obtain the industrial and commercial and trademark information of the corresponding regions;

[0088] S22. In the early warning database operation interface, enter the existing service customers, and obtain all trademark information under the customer's name by comparing the customer's name with the trademark information. Existing customers can obtain accurate trademark early warning services;

[0089] S23. Search all industrial and commercial entities in the early warning database area, compare the industrial and commercial entities with the trademarks of the same entities in the trademark database, and obtain target customer information through multiple comparisons.

[0090] The working principle of the above technical solution is:

[0091] First, a fuzzy comparison is performed on the warning data to identify the administrative region of the customer entity in the database, and the keywords of the address province in the warning data are extracted. The keywords are matched with the divided provinces and cities, and the industrial and commercial and trademark information of the corresponding area can be obtained by searching the divided areas; then, in the warning database operation interface, the existing service customers are entered, and the corresponding trademark information is searched by comparing the customer entity name to obtain all trademark information under the customer entity name, and existing customers are specially managed. The existing customers and their trademarks form a working group to provide existing customers with accurate trademark warning services. When all trademarks under the customer name meet the warning conditions, they will be marked with specific labels of the warning conditions; finally, all industrial and commercial entities in the warning database area are searched, and the keywords of the industrial and commercial entity names are compared with the keywords of the same entity names in the trademark database. After multiple comparisons, the target customer information is obtained.

[0092] The effects of the above technical solution are:

[0093] By fuzzy matching the keywords of the enterprise's main address, the administrative area of ​​the enterprise can be divided, and the industrial and commercial information of all enterprises in the corresponding administrative area can be obtained through regional search. The enterprise name is compared with the trademark database with the same name as the keyword, and the trademark information of all industrial and commercial entities and entities related to the entity can be obtained; by entering existing customers, special management of existing customers can be carried out. Existing customers and their trademarks constitute a working group, which can standardize the management of existing customer trademarks and display the status of trademarks under the customer's name. When a trademark warning occurs, the warning label will distinguish the warning situation and provide professional warning services to existing customers; by comparing the industrial and commercial entity with the trademark within the regional scope, targeted customer information can be obtained. Taking the industrial and commercial database as the standard, it can be obtained whether there is a trademark under the name of the industrial and commercial entity. If there is a trademark, all trademarks under the name of the entity can be searched. If there is no trademark, the entity without a trademark can be counted, which can further develop trademark needs; based on the trademark database, it can search for companies with the same or similar trademarks, make early predictions for customer trademark applications and rights protection, and obtain prediction information to make trademark decisions in advance.

[0094] In one embodiment of the present invention, early warning conditions are selected, early warning information is processed for target customers, and early warning customers meeting the early warning conditions are obtained, including:

[0095] S31. Search the early warning database, compare the customer's trademark with similar trademarks in the database, select the opposed trademark based on the comparison results, and obtain the opposed trademark information;

[0096] S32. Check the address and name information of the company that owns the trademark, filter out the information of the subject that is inconsistent with the name and address of the industrial and commercial information and the trademark information, and obtain the customer information of the changed trademark;

[0097] S33. Compare the trademarks submitted by the customer, calculate the rejection probability by using the trademark similarity comparison, and obtain the corresponding trademark application measures based on the rejection probability;

[0098] S34, comparing the trademark database, screening the trademarks in the announced state, obtaining the trademark information in the announced state, and generating the announced trademark database;

[0099] S35, comparing the trademark database, screening rejected trademarks, obtaining rejected trademark information, and generating a rejected trademark database;

[0100] S36. Monitor all trademarks under the customer's name, screen trademarks whose protection period has expired, obtain information on customers whose trademarks have been renewed, and generate a database of customers whose trademarks have been renewed.

[0101] The working principle of the above technical solution is:

[0102] First, monitor all trademarks under the name of the client company, select any trademark for comparison, search through the early warning database, search for other corporate trademarks that are identical or similar to the trademark in the announcement period, and compare the compared trademark with other similar trademarks in the database. When the comparison result exceeds the early warning line, obtain the trademark objection prediction result, the system will issue a risk reminder, and the opposed trademark will obtain a warning sign. The contact information of the opposed trademark is obtained through the early warning database search. The trademark similarity comparison method is as follows: search for similar trademarks with the same text and pronunciation as the compared trademark, with a single text stroke difference of less than 3 strokes, and pronunciation that only differs in flat tongue and front and back nasal sounds, and screen out similar trademarks that overlap with the compared trademark category for comparison; crop the edges of the compared trademark and the similar trademark, and the cropped trademark edges are inscribed in the blank circular plane. After the blank circular plane is enlarged year-on-year, the compared trademark and the similar trademark are the same size. The circular plane is divided into n equal parts. Similarly, the compared trademark and the similar trademark are also divided into n parts, and the small planes divided by the circular plane are numbered, numbered S n , corresponding to the comparison trademark division small plane number S (ratio) n , and the small plane number S (similar) divided by similar trademarks n , compare the trademark facets with the same number;

[0103] If two facets with the same serial number are completely filled or completely blank, it means that the facets with the same serial number are exactly the same, the similarity D is 100%, and the similarity contribution value is The similarity between the compared trademark and the similar trademark is obtained by adding up the similarity contribution values ​​of all the serial number facets;

[0104] If one of the two facets with the same serial number is completely filled and the other is completely blank, it means that the similarity D is 0 and the similarity contribution value G is 0;

[0105] If two small planes with the same sequence number are filled with content, calculate the overlapping area of ​​the content and set the overlapping area as S Δ , the filled area of ​​the small plane of the comparison trademark is S 比 , the filled area of ​​the small plane of the comparison trademark is S 似 , is the ratio of the overlapping area to the filled area of ​​the comparison trademark, To compare the proportion of the difference between the filled area and the overlapping area of ​​the trademark to the area ratio, It is the ratio of the difference between the filled area and the overlapping area of ​​similar trademarks to the area.

[0106] The similarity is The similarity contribution is

[0107] The overall similarity between the compared trademark and the similar trademark in the same direction is Rotate the comparison trademark once and continue to compare it with the comparison trademark. After rotating 360 degrees clockwise, extract D 总 max,

[0108] When D 总 When max≤30%, it means that the similarity between the compared trademark and the similar trademark is not high, and the similar trademark does not cause trademark danger or infringement impact when compared with the compared trademark;

[0109] When D 总 When max>30%, it means that the compared trademark and the similar trademark have a certain degree of similarity. The overlapping parts of the plane area with the same serial number are selected, and the number of overlapping parts is m. The edge function of the content part of the compared trademark is f(x), and the edge function of the filling part of the content of the similar trademark is g(x).

[0110] x is the horizontal coordinate in the same number plane, in a same number plane,

[0111] Differences in linear functions of the same plane

[0112] Coincident line function difference

[0113] When the difference F>0.3, it means that the difference is obvious and the similarity is low.

[0114] When the difference F≤0.3, it means that the difference is not obvious and the similarity is high. When this value appears, a similar result warning prompt will be issued;

[0115] Then, the company entities with trademarks in the early warning database are monitored. When the address or name information of the company changes, the time of the company entity information change is displayed, and the company's industrial and commercial information is compared with the trademark information. If the entity information in the trademark is inconsistent with the industrial and commercial entity information, the trademark entity with inconsistent information is screened, and the number of days from the change period to the real-time date is marked, and the customer information is searched and downloaded to obtain the customer, thereby contacting the customer to carry out the trademark information change business. If there are other early warning clues under the trademark of the customer carrying out the business, the other early warning clues will be carried out together with the customer;

[0116] Secondly, we compare the newly submitted trademarks of existing customers by citing the registered trademarks of the same name and integrating them into the review algorithm for comparison. We use the previous trademark objection algorithm principle to compare the similarity between the applied trademark and the compared trademark. If the similarity is less than 30%, it means that the probability of rejection is low, and we recommend the customer to apply. If the similarity is higher than 30%, we check whether a similarity warning is generated. If a warning is generated, we will make a reminder to the customer through the platform to apply for a new trademark or purchase a trademark.

[0117] Then, by comparing the trademark network data, we screen out the trademarks to be announced, select the information and import it into the customer database, and mark it with the delivery announcement label. When searching for the delivery announcement warning conditions, we display the trademarks in the delivery announcement status. By choosing to download the fuzzy data trademark information, we obtain the trademark information and contact information in the delivery announcement status. We provide defense and review services for trademarks in the announcement status, respond to and review the public's objections to the published trademarks, and judge the probability of the trademark objection defense being accepted through trademark similarity comparison, and contact customers to make subsequent trademark decisions.

[0118] Secondly, monitor the data status of the trademark official website, select trademarks with a rejected status from the early warning database, mark the rejected trademarks with a rejected review status, and record the date of the rejection. When searching for the rejection review warning conditions, display the rejected review status trademarks, download and process all the information of the rejected trademarks, contact the trademark owner, analyze the reasons for the rejection and the direction of the review, and develop the trademark rejection customer review business;

[0119] Finally, monitor the validity period of all trademarks, search the database for trademarks and entities that are within one year of the expiration of protection, mark the countdown to the trademark protection period, add a renewal label to the trademark, search for the contact information of the trademark entity, and conduct trademark renewal business.

[0120] The effects of the above technical solution are:

[0121] By obtaining trademark objection risk alerts, we can conduct in-depth checks on customer trademark risks, promptly remove other trademarks that pose risks to trademarks, ensure customer trademark security, and prevent other easily confused trademarks from infringing on customer trademark rights; through trademark similarity calculation, we can conduct multiple comparisons between the compared trademark and similar trademarks to ensure the accuracy of trademark similarity results, and raise trademark objections based on similarity result warnings. We can accurately select objected trademarks, ensure the success rate of trademark objections, improve the accuracy of trademark objection target selection, and demonstrate the professionalism of the platform's trademark business; at the same time, we can raise objections to newly applied trademarks to prevent the other party's trademark from increasing the legal cost of invalidation after use, and at the same time reduce trademark infringement disputes and legal risks of trademark protection; at the same time, timely objection handling can reflect the company's attention to the trademark and increase the popularity and exposure of the customer's trademark; obtain information on whether the customer company has changed the trademark or not, and conduct business in a timely manner. We can gain customer trust through the professionalism of the information, and use professional skills to help the customer's trademark business In-depth mining of business needs, marking of the date of occurrence and the number of days that have passed, and different marketing words can be used according to the urgency of time. For example, if time is sufficient, inquiries should be made, and if time is tight, the urgency of time and the severity of delay should be expressed to promote smooth business development. At the same time, various situational speech skills are also included in the business learning section as examples to create a team sharing and learning atmosphere; by integrating the rules of trademark review into the algorithm, the pass rate of newly applied trademarks is predicted in advance, and by comparing with cited trademarks, when it is found that the customer's trademark is likely to be rejected, the customer can be given priority to apply for a new application, or the customer can be recommended to purchase a transaction trademark, and the customer's rejection review business can be locked in advance to reduce the customer's waiting time; the reasons for rejection and the direction of review are analyzed, and the review business of trademark rejection customers is developed. After the rejected trademark is valid after review, it can reflect the professionalism of the trademark business, strengthen the trust of corporate customers, and lay a good foundation for long-term trademark business in the future; at the same time, business mining of renewal trademark customers can further provide customers with high-quality trademark services;

[0122] An embodiment of the present invention provides tracking services for early warning customers and expands the functions of the trademark early warning platform, so that early warning customers can obtain a complete early warning service and a feature-rich early warning service platform experience, including:

[0123] S41. Allocate the customer with the obtained trademark warning information to a designated employee account. All trademark business under the customer's name will be followed up by the designated employee account. After each follow-up, the follow-up record and results will be obtained and the next follow-up time will be set;

[0124] S42. Assess the risk level of the customers being followed up, and send follow-up reminders to the employee account based on the customer's activity level;

[0125] S43. Follow up on the trademark cases of the clients we follow up on. When a trademark case is lost, analyze the client’s historical cooperation record and risk level assessment to remind the client of the loss and take measures to recover the lost client;

[0126] S44. Authorize and register trademarks that can be sold, and display them in the joint operation center of the trademark early warning platform. By searching by category and keyword, the trademarks that are normally sold can be screened, and customers who need trademarks can obtain the information on the trademarks for sale;

[0127] S45, customizing the amount of information per page displayed by the search to adapt to the operation habits of different amounts of content, counting the data downloaded, and obtaining the remaining amount of data downloaded by the platform;

[0128] S46. The trademark early warning platform has a sales training and business popularization section, regularly updates videos or articles, and obtains the trademark early warning platform information learning section;

[0129] S47. The early warning platform verifies and confirms through mobile phone, changes the mobile phone number and password, and obtains safe early warning information.

[0130] The working principle of the above technical solution is:

[0131] First, the customer information filtered by the early warning conditions is relatively accurate. The information of the early warning customers is assigned to the operating account of the designated employee through the trademark early warning service platform. The designated employee provides trademark services and trademark business promotion to the trademark customers. The employee follows up on the contact process and conclusions between the employee and the customer each time, analyzes the follow-up process to determine the next business promotion strategy and follow-up time, and sets the promotion time reminder. Then, after following up on the needs and business mining of trademark customers, the risk level of the followed trademark customers is graded according to the customer's activity level, and follow-up reminders are given for trademark customers with low activity and high risk levels. After that, the trademark customer's case is followed up. When the customer's trademark case business is represented by other companies, the historical cooperation records and risk level assessment with the trademark customer are collected. The trademark early warning platform makes a customer churn reminder, makes a chart data for the churn event, marks the churn nodes and churn factors, and lists possible measures to recover the churn. After that, the trademark that needs a trademark but cannot be applied for is searched, and the appropriate trademark and trademark enterprise contact information is obtained. After the enterprise allows the sale, it is authorized to register and the trademark early warning platform is used to record the customer's churn. The joint venture center part is displayed, and the trademarks that are normally sold are screened by searching by category and keywords, and the information of trademarks that can be sold is provided to customers who need trademarks, and trademark sale and transfer services are provided; then, the number of displayed messages on each page of the information display directory interface is customized, and all the information to be exported is selected or the serial number segment is customized to be downloaded and exported in batches, and the downloaded information is imported into the information download part, and the amount of downloaded data is counted to obtain the remaining data downloaded by the platform; then, a sales training and business popularization part is set up on the trademark early warning platform, and good sales cases are filmed into short videos or written into articles for platform users to learn, or other sales training courseware is migrated to the platform for users to learn. At the same time, a small subject learning section is set up to explain each link of the business, including the effects of measures taken and special precautions, to build a professional trademark early warning platform learning section; finally, using the security and simplicity of mobile phone verification, the trademark early warning platform verifies the user's modification of the platform security information through mobile phone verification confirmation, and modifies the mobile phone number or password after verification, so that the information of the trademark early warning platform is secure.

[0132] The effects of the above technical solution are:

[0133] Contacting customers through dedicated personnel can reflect the exclusivity of trademark services, reflect the responsibility for trademark customers, fully understand the needs of trademark customers, maintain long-term business contacts, enhance the trust of trademark customers, and promote the development of business contacts;

[0134] Reminding customers with high risk levels can encourage employees to track the stickiness of service customers, preventing long-term non-contact with trademark customers and causing business loss. At the same time, the risk level also provides an early warning for the allocation of trademark customers, and timely measures can be taken for high-risk customers to reduce the loss of accurate customers;

[0135] The trademark loss reminder can remind business personnel to remain vigilant and assist business personnel in maintaining customers when loss occurs, so as to recover or reduce losses as much as possible;

[0136] The idle trademarks of trademark customers are put up for sale, providing a purchasing channel for customers who need trademarks, integrating trademark customer resources, and facilitating trademark circulation. At the same time, trademark circulation can bring benefits to the platform and the three parties of buyers and sellers to achieve a win-win situation;

[0137] Customize the number of messages per page, and freely adjust the number of messages displayed per page. A small number of messages displayed per page can reduce the load on the platform server per unit time, making it easier for customers to obtain information in sequence. Accurate understanding helps customers gain in-depth understanding and mining. A large number of messages displayed per page can be downloaded in batches, making it easier to conduct preliminary communication with unfamiliar customers. Statistics on the remaining data to be downloaded can prevent large-scale downloads of information without use, which would waste information and reduce business enthusiasm.

[0138] The learning section of the trademark early warning platform has sharing and learning functions. The learning section is accurate to the smallest details and can provide targeted help to users, quickly give users business advice, and help novice users grow quickly. The sharing of excellent cases also helps to portray the image of excellent representatives and build a good platform business atmosphere and professional level.

[0139] The mobile phone verification security method eliminates the need for tedious password retrieval due to account lockout due to password recording errors. While ensuring data security, it reduces the steps of data security verification, simplifies the security process, makes the platform interface clean and refreshing, and gives users a simple and professional feeling.

[0140] One embodiment of the present invention is a trademark early warning system based on big data, the system comprising:

[0141] The early warning data collection module is used to search the industrial and commercial information, trademark information and other yellow pages information published on the external network, compare and process the industrial and commercial information and trademark information, and obtain the early warning database;

[0142] A regional customer screening module is used to screen the warning database, obtain the warning trademarks that meet the screening requirements and the business information of the entities to which the trademarks belong, and obtain target customer information;

[0143] The early warning condition processing module is used to select early warning conditions, process early warning information for target customers, and obtain early warning customers that meet the early warning conditions;

[0144] The early warning customer service module is used to provide tracking services to early warning customers and expand the functions of the trademark early warning platform. Early warning customers receive comprehensive early warning services and a feature-rich early warning service platform experience.

[0145] The working principle of the above technical solution is:

[0146] First, the early warning data collection module is used to search for the business information, trademark information and other yellow pages information published on the external network, and the business information and trademark information are compared and processed to obtain the early warning database; then, the regional customer screening module is used to screen the early warning database to obtain the early warning trademarks that meet the screening and the business information of the trademark owners, and obtain the target customer information; secondly, the early warning condition processing module is used to select the early warning conditions, and the early warning information of the target customers is processed to obtain the early warning customers who meet the early warning conditions; finally, the early warning customer service module is used to track the early warning customers, and the functions of the trademark early warning platform are expanded, so that the early warning customers can obtain complete early warning services and a feature-rich early warning service platform experience.

[0147] The effects of the above technical solution are:

[0148] The early warning database is obtained through the early warning data collection module, and it is possible to screen among many external network data to obtain a large amount of effective early warning data content. The early warning database after comparison processing is true and accurate, and can provide a good data basis for subsequent business development; through the regional customer screening module, the trademark information and industrial and commercial information in the early warning database are cross-screened, and the enterprise information without trademarks and all trademark information under the name of trademarked enterprises can be obtained, and the business development direction can be obtained based on the information; through the early warning condition processing module, high-quality trademark early warning services can be provided to existing customers, and a large number of potential customers who meet the pre-selected conditions can also be screened out through early warning conditions. By tracking and developing potential customers, they can be developed into new customers, and business mining can be carried out on various trademarks of customers that meet the early warning conditions to obtain obvious economic benefits; at the same time, through the tracking and analysis of customer service by the early warning customer service module, the most appropriate marketing measures can be made to obtain the maximum economic benefits; at the same time, the functions of the trademark early warning platform are further expanded, and the humanized function settings facilitate the operation of the trademark early warning platform, bringing a comfortable operating experience. At the same time, the improvement of the functions of the trademark early warning platform can enable the platform to handle most business activities related to trademarks.

[0149] In one embodiment of the present invention, the early warning data collection module includes:

[0150] The external network collection module is used to search for information disclosed to the public on the Industrial and Commercial Information Publicity Network and the Trademark Information Publicity Network, and fuzzily download the public information to the trademark early warning platform server after keyword comparison to obtain the external network database;

[0151] The industrial and commercial data module is used to compare the industrial and commercial information data and the yellow pages information in the external network database, perform an empty number shutdown detection on the contact numbers disclosed by the industrial and commercial enterprise entities through the empty number detection platform, remove the enterprise entities that cannot be contacted in the early warning database, screen the enterprise entities with normal business status, and obtain the industrial and commercial database of the enterprise entities that can be contacted;

[0152] The trademark data module is used to compare the trademark data information in the external network database, mark the status of the trademark, search through the early warning marking conditions in the early warning database, obtain the trademark information that meets the early warning data conditions, and obtain the trademark database;

[0153] The early warning data module is used to associate the trademark database with the industrial and commercial database to obtain an early warning database with trademark and subject industrial and commercial information.

[0154] The working principle of the above technical solution is:

[0155] First, the information disclosed to the public on the industrial and commercial information disclosure network, the trademark information disclosure network and the yellow pages website is searched through the external network collection module, and the keywords of the public information are compared and then fuzzily downloaded to the trademark early warning platform server. The keyword range includes the name of the subject, the province and city where the subject is located, the business status of the subject and the contact information of the subject. The keyword information is extracted and the original link is left to obtain the external network database; then, the industrial and commercial information data and the yellow pages information in the external network database are compared, and the contact numbers disclosed by the industrial and commercial enterprise subject are detected by the empty number detection platform using the industrial and commercial data module to remove the enterprise subjects that cannot be contacted in the early warning database, and the enterprise subjects with normal business status are screened to obtain the industrial and commercial database of the enterprise subject that can be contacted; then, the trademark data information in the external network database is compared, the status of the trademark is marked by the trademark data module, and the early warning mark condition is searched in the early warning database to obtain the trademark information that meets the early warning data condition, and obtain the trademark database; finally, the early warning data module is used to associate the trademark database with the industrial and commercial database to obtain the early warning database with trademark and subject industrial and commercial information.

[0156] The effects of the above technical solution are:

[0157] By searching for public information on the entire network through the external network collection module, all external network information related to industry and commerce and trademarks can be obtained. At the same time, fuzzy downloading of external network information keywords to the database can ensure the effectiveness of the information while reducing traffic consumption, speeding up search efficiency, and quickly obtaining updated external network databases; by obtaining the industrial and commercial database through the industrial and commercial data module, the business entities that are operating normally can be screened out, and at the same time, the companies that cannot be contacted can be screened out through the empty number shutdown detection, which can ensure that the companies in the industrial and commercial database can be called and contacted, and can provide business personnel with accurate corporate methods, bringing convenience to business development; by obtaining the trademark database through the trademark data module, the trademark status information can be marked, and the corresponding marked trademark can be obtained by using the marked search; by using the early warning data module to associate the trademark database with the industrial and commercial data in different ways, various accurate early warning databases can be obtained, and early warning databases in different directions can provide accurate reference basis for trademark application and trademark protection.

[0158] In one embodiment of the present invention, the regional customer screening module includes:

[0159] The regional division module is used to perform fuzzy comparison on the warning data, identify the administrative regions of the customer entities in the database, divide them according to provinces and cities, and search the divided regions to obtain the industrial and commercial and trademark information of the corresponding regions;

[0160] The customer import module is used to enter existing service customers in the early warning database operation interface, and obtain all trademark information under the customer's name by comparing the customer's name with the trademark information. Existing customers can obtain accurate trademark early warning services;

[0161] The target screening module is used to search all industrial and commercial entities in the early warning database area, compare the industrial and commercial entities with the trademarks of the same entities in the trademark database, and obtain target customer information through multiple comparisons.

[0162] The working principle of the above technical solution is:

[0163] First, a fuzzy comparison is performed on the warning data through the regional division module to identify the administrative region of the customer entity in the database, extract the keywords of the address province in the warning data, match the keywords with the divided provinces and cities, and obtain the industrial and commercial and trademark information of the corresponding area through the divided regional search; then, in the warning database operation interface, the customer import module is used to enter the existing service customers, and the corresponding trademark information is searched through the customer entity name comparison to obtain all trademark information under the customer entity name, and the existing customers are specially managed. The existing customers and the trademarks under their names form a working group to provide existing customers with accurate trademark warning services. When all the trademarks under the customer name meet the warning conditions, they will be marked with specific labels of the warning conditions; finally, the target screening module is used to search all industrial and commercial entities in the warning database area, and the industrial and commercial entity name keywords are compared with the same entity name keywords in the trademark database, and the target customer information is obtained after multiple comparisons.

[0164] The effects of the above technical solution are:

[0165] Through the regional division module, the enterprise's administrative area can be divided by vaguely comparing the keywords of the enterprise's main address. Through regional search, all the business information of enterprises in the corresponding administrative area can be obtained. The enterprise name is compared with the trademark database with the same name as the keyword, and all the industrial and commercial entities and trademark information associated with the entity within the regional range can be obtained; through the customer import module, existing customers can be entered, and special management can be carried out on existing customers. Existing customers and their trademarks constitute a working group, which can standardize the management of existing customer trademarks and display the status of trademarks under the customer's name. When a trademark warning occurs, the warning label distinguishes the warning situation and provides professional warning services to existing customers; through the target screening module, the industrial and commercial entities and trademarks within the regional range are compared to obtain targeted customer information. For example, based on the industrial and commercial database, it can be obtained whether there is a trademark under the name of the industrial and commercial entity. If there is a trademark, all trademarks under the name of the entity are searched. If there is no trademark, the entity without a trademark is counted, which can further develop trademark needs; based on the trademark database, it can search for companies with the same or similar trademarks, make early predictions for customer trademark applications and rights protection, and obtain prediction information to make trademark decisions in advance.

[0166] In one embodiment of the present invention, the warning condition processing module includes:

[0167] The objection prediction module is used to search the early warning database, compare the customer's trademark with similar trademarks in the database, select the objection trademark based on the comparison results, and obtain the objection trademark information;

[0168] The industrial and commercial change module detects the address and name information of the company that owns the trademark, filters out the subject information whose industrial and commercial information is inconsistent with the name and address of the trademark information, and obtains the customer information of the changed trademark;

[0169] The rejection prediction module is used to compare the trademarks submitted by customers, calculate the rejection probability by using the trademark similarity comparison, and obtain the corresponding trademark application measures based on the rejection probability;

[0170] The announcement delivery module is used to compare the trademark database, screen the trademarks in the announcement status, obtain the trademark information in the announcement status, and generate the announcement trademark database;

[0171] The rejection review module is used to compare the trademark database, screen rejected trademarks, obtain rejected trademark information, and generate a rejected trademark database;

[0172] The trademark renewal module is used to monitor all trademarks under the customer's name, screen trademarks whose protection period has expired, obtain trademark extension customer information, and generate a trademark extension customer database.

[0173] The working principle of the above technical solution is:

[0174] First, monitor all trademarks under the name of the client company through the objection prediction module, select any trademark for comparison, search through the early warning database, search for other corporate trademarks that are the same or similar to the trademark in the announcement period, and compare the compared trademark with other similar trademarks in the database. When the comparison result exceeds the early warning line, obtain the trademark objection prediction result, the system will issue a risk reminder, the objected trademark will obtain a warning sign, and the contact information of the objected trademark will be obtained through the early warning database search. The trademark similarity comparison method is as follows: search for similar trademarks with the same text and pronunciation as the compared trademark, with a single text stroke difference of less than 3 strokes, and pronunciation that only differs in flat tongue and front and back nasal sounds, and screen out similar trademarks that overlap with the compared trademark category for comparison; crop the edges of the compared trademark and the similar trademark, and the cropped trademark edges are inscribed in the blank circular plane. After the blank circular plane is enlarged year-on-year, the compared trademark and the similar trademark are the same size, and the circular plane is divided into n equal parts. Similarly, the compared trademark and the similar trademark are also divided into n parts, and the small planes divided by the circular plane are numbered, numbered S n , corresponding to the comparison trademark division small plane number S (ratio) n , and the small plane number S (similar) divided by similar trademarks n , compare the small planes of the trademark with the same serial number; if two small planes with the same serial number are completely filled or completely blank, it means that the small planes with the same serial number are exactly the same, the similarity D is 100%, and the similarity contribution value is The similarity contribution values ​​of all the small planes with the same serial number are added together to get the similarity between the compared trademark and the similar trademark; if one of the two small planes with the same serial number is completely filled and the other is completely blank, it means that the similarity D is 0 and the similarity contribution value G is 0; if the two small planes with the same serial number are filled with content, the overlapping area of ​​the content is calculated and the overlapping area is set as S Δ , the filled area of ​​the small plane of the comparison trademark is S 比 , the filled area of ​​the small plane of the comparison trademark is S 似 , is the ratio of the overlapping area to the filled area of ​​the comparison trademark, To compare the proportion of the difference between the filled area and the overlapping area of ​​the trademark to the area ratio, It is the ratio of the difference between the filled area and the overlapping area of ​​similar trademarks to the area.

[0175] The similarity is D, The similarity contribution value is G, The overall similarity between the compared trademark and the similar trademark in the same direction is Rotate the comparison trademark once and continue to compare it with the comparison trademark. After rotating 360 degrees clockwise, extract D 总 max,

[0176] When D 总 When max≤30%, it means that the similarity between the compared trademark and the similar trademark is not high, and the similar trademark does not cause trademark danger or infringement impact when compared with the compared trademark;

[0177] When D 总 When max>30%, it means that the compared trademark and the similar trademark have a certain degree of similarity. The overlapping parts of the plane area with the same serial number are selected, and the number of overlapping parts is m. The edge function of the content part of the compared trademark is f(x), and the edge function of the filling part of the content of the similar trademark is g(x).

[0178] x is the horizontal coordinate in the same number plane, in a same number plane,

[0179] Differences in linear functions of the same plane

[0180] Coincident line function difference

[0181] When the difference F>0.3, it means that the difference is obvious and the similarity is low.

[0182] When the difference F≤0.3, it means that the difference is not obvious and the similarity is high. When this value appears, a similar result warning prompt will be issued;

[0183] Then, the company entities with trademarks in the early warning database are monitored through the industrial and commercial change module. When the company's address or name information changes, the company's main information change time is displayed, and the company's industrial and commercial information is compared with the trademark information. If the main information in the trademark is inconsistent with the industrial and commercial main information, the trademark entities with inconsistent information are screened, and the number of days from the change period to the real-time date is marked, and the customer information is searched and downloaded to obtain the customer, thereby contacting the customer to carry out the trademark information change business. If there are other early warning clues under the trademark of the customer carrying out the business, the other early warning clues will be carried out together with the customer;

[0184] Secondly, the rejection prediction module compares the newly submitted trademarks of existing customers, cites the registered trademarks of the same name, integrates the review algorithm for comparison, and uses the previous trademark objection algorithm principle to compare the similarity between the applied trademark and the comparison trademark. If the similarity is less than 30%, it means that the probability of rejection is low, and the customer is advised to apply. If the similarity is higher than 30%, see whether a similarity warning is generated. If a warning is generated, the platform will make suggestions to the customer to apply for a new application or purchase a trademark;

[0185] Then, by comparing the trademark network data, the announcement delivery module is used to filter out the trademarks to be announced, select the information and import it into the customer database, and mark it with the delivery announcement label. When searching for the delivery announcement warning conditions, the trademarks in the delivery announcement status are displayed, and the trademark information and contact information in the delivery announcement status are obtained by selecting to download the fuzzy data trademark information. The trademarks in the announcement status are provided with reply and review services, and the public's objections to the publicized trademarks are responded to and reviewed. At the same time, the probability of the trademark objection defense being accepted is determined through trademark similarity comparison, and the customer is contacted to make subsequent trademark decisions;

[0186] Secondly, monitor the data status of the trademark official website, select trademarks with rejected status from the early warning database through the rejection review module, mark the rejected trademarks with rejection review status, and record the rejection date. When searching for rejection review warning conditions, display the rejected review status trademarks, download and process all the information of the rejected trademarks, obtain the contact information of the trademark owner, analyze the rejection reasons and review direction, and develop trademark rejection customer review business;

[0187] Finally, monitor the validity period of all trademarks, use the trademark renewal module to search the database for trademarks and entities that have reached the end of their protection period within one year, mark the countdown to the trademark protection period, add a renewal label to the trademark, search for the contact information of the trademark entity, and conduct trademark renewal business.

[0188] The effects of the above technical solution are:

[0189] By obtaining the risk warning of trademark objection through the objection prediction module, we can deeply check the risks of customers' trademarks, timely remove other trademarks that pose risks to trademarks, ensure the safety of customers' trademarks, and prevent other easily confused trademarks from infringing customers' trademark rights; through trademark similarity calculation, we can make multiple comparisons between the compared trademarks and similar trademarks to ensure the accuracy of trademark similarity results, and raise trademark objections based on similarity result warnings, accurately select the objected trademarks, ensure the success rate of trademark objections, improve the accuracy of trademark objection target selection, and demonstrate the professionalism of the platform's trademark business; at the same time, we raise objections to newly applied trademarks to prevent the increase of legal costs of trademark invalidity after the use of the other party's trademark, and reduce the occurrence of trademark infringement disputes and legal risks of trademark protection; at the same time, timely objection handling can reflect the company's attention to trademarks and increase the popularity and exposure of customers' trademarks; through the industrial and commercial change module, we can obtain information on the change of customer companies' trademarks and conduct business in a timely manner. We can gain customer trust through the professionalism of the information, and use professional skills to deeply explore customers' trademark business needs. The marking of the date of occurrence and the number of days that have passed can use different marketing words according to the urgency of time. For example, if time is sufficient, the inquiry should be based on the situation; if time is tight, the urgency of time and the severity of the delay should be expressed to promote the smooth development of business. At the same time, various situational speech skills are also included in the business learning section to create a team sharing and learning atmosphere; by integrating the rules of trademark review into the algorithm, the rejection prediction module is used to predict the approval rate of newly applied trademarks in advance, and the cited trademarks are used for comparison. When it is found that the customer's trademark is likely to be rejected, the customer can be given priority to apply for a new application, or the customer can be recommended to purchase a trading trademark, and the customer's rejection review business can be locked in advance to reduce the customer's waiting time; the announcement delivery module can be used for The announcement delivery entity provides trademark reply and review services. It should respond to and review the public's objections to the published trademarks. At the same time, it determines the probability of acceptance of the trademark objection reply through trademark similarity comparison, and contacts the customer to make subsequent trademark decisions; it analyzes the rejection reasons and review directions through the rejection review module, develops trademark rejection customer review business, and the rejected trademark can reflect the professionalism of the trademark business after the review is valid, strengthen the trust of corporate customers, and lay a good foundation for future long-term trademark business; at the same time, the trademark renewal module is used to explore the business of customers who renew the trademark, which can further provide customers with high-quality trademark services.

[0190] In one embodiment of the present invention, the early warning customer service module includes:

[0191] The allocation and follow-up module is used to allocate the customers with trademark warning information to designated employee accounts. All trademark businesses under the customer's name are followed up by the designated employee account. After each follow-up, the follow-up records and results are obtained and the next follow-up time is set;

[0192] The risk reminder module is used to classify the risk level of the followed customers and send follow-up reminders to the employee account based on the customer's activity;

[0193] The churn analysis module is used to follow up on the trademark cases of the customers. When a trademark case is lost, the module analyzes the customer's historical cooperation records and risk level assessment to remind customers of the loss and take measures to recover the lost customers.

[0194] The trademark sales module is used to authorize and register trademarks that can be sold, and display them in the trademark early warning platform joint operation center. By searching by category and keyword, the trademarks that are normally sold can be screened, and customers who need trademarks can obtain information on trademarks for sale;

[0195] Set the download module, which is used to customize the number of information per page displayed by the search, adapt to the operation habits of different amounts of content, count the data downloaded, and obtain the remaining data downloaded by the platform;

[0196] The platform learning module is used to set up sales training and business popularization sections on the trademark early warning platform, regularly update videos or articles, and obtain information learning sections on the trademark early warning platform;

[0197] The security setting module is used to verify and confirm the changed mobile phone number and password through mobile phone verification to obtain early warning data security protection.

[0198] The working principle of the above technical solution is:

[0199] First, accurate customer information is filtered through early warning data, and the trademark early warning service platform allocates the information of the early warning customers to the operating account of the designated employee through the allocation follow-up module. The designated employee provides trademark services and trademark business promotion to the trademark customers. The contact process and conclusion between the employee and the customer are followed up each time, and the follow-up process is analyzed to determine the next business promotion strategy and follow-up time, and the promotion time reminder is set; then, after following up on the needs and business mining of trademark customers, the risk reminder module is used to classify the risk level of the trademark customers to be followed up according to the customer's activity level, and follow-up reminders are given to trademark customers with low activity and high risk level; then, the churn analysis module is used to follow up on the cases of trademark customers. When the customer's trademark case business is represented by other companies, the historical cooperation records and risk level assessment with the trademark customers are collected, and the trademark early warning platform makes customer churn reminders, makes charts and data for the churn events, marks the churn nodes and churn factors, and lists possible measures to recover the churn; then, the trademarks that need trademarks but cannot be applied for are searched, and the appropriate trademarks and trademark enterprise contact information are obtained. After the enterprise allows the sale, the authorization registration is carried out, and the trademark sale module is used on the trademark early warning platform. The Taiwan Joint Venture Center section is displayed, and the trademarks that are normally sold are screened by searching by category and keywords, and the information of trademarks that can be sold is provided to customers who need trademarks, and trademark sale and transfer services are provided; then, the download setting module is used to customize the number of displayed messages on each page of the information display directory interface, and all the information to be exported is selected or the customized input sequence segment is used for batch download and export. The downloaded information is imported into the information download section, and the amount of downloaded data is counted to obtain the remaining data downloaded by the platform; then, the sales training and business popularization sections are set up on the trademark early warning platform through the platform learning module, and good sales cases are filmed into short videos or written into articles for platform users to learn, or other sales training courseware is migrated to the platform for users to learn. At the same time, a small subject learning section is set up to explain each link of the business, including the effects of measures taken and special precautions, to build a professional trademark early warning platform learning section; finally, using the security and simplicity of mobile phone verification, the trademark early warning platform uses the mobile phone verification confirmation method, and uses the security setting module to verify the user's modification of the platform security information, and after verification, the mobile phone number or password is modified, so that the information of the trademark early warning platform is secure.

[0200] The effects of the above technical solution are:

[0201] By assigning a dedicated person to contact customers through the follow-up module, it can reflect the specificity of trademark services, reflect the responsibility for trademark customers, fully understand the needs of trademark customers, maintain long-term business contacts, enhance the trust of trademark customers, and promote the development of business contacts; by reminding customers with high risk levels through the risk reminder module, it can prompt employees to track the stickiness of service customers to prevent business loss caused by long-term non-contact of trademark customers. At the same time, the risk level also issues an early warning for the allocation of trademark customers, and timely measures are taken for high-risk customers to reduce the loss of accurate customers; through the loss analysis module, trademark loss reminders can remind business personnel to remain vigilant, assist the business in maintaining customers when loss occurs, and recover or reduce losses as much as possible; through the trademark sales module, the idle trademarks of trademark customers are listed for sale, providing customers in need of trademarks with a way to purchase, integrating trademark customer resources, and facilitating the circulation of trademarks. At the same time, trademark circulation can bring benefits to the platform and the three parties of buyers and sellers to achieve a win-win situation; by setting the download module, the number of messages per page Through custom settings, the number of items displayed per page can be freely adjusted. A small number of items displayed per page can reduce the load on the platform server per unit time, making it convenient for customers to obtain information in sequence from the page display. Accurate understanding helps to gain in-depth understanding and excavation of important customers. A large number of items displayed per page can be downloaded in batches to obtain information, which is convenient for initial communication with unfamiliar customers. Statistics on the remaining data downloaded can prevent large-scale downloads of information without use, resulting in information waste and reduced business enthusiasm. Through the platform learning module, the trademark early warning platform can be divided into small learning sections, which can provide users with targeted help and quickly give users business advice to help novice users grow quickly. The sharing of excellent cases also helps to portray the image of excellent representatives and build a good platform business atmosphere and professional level. Through the security setting module, the mobile phone verification security method is used to eliminate the tedious password retrieval caused by account lock due to password recording errors, while ensuring data security. It reduces data security verification steps, simplifies the security process, makes the platform interface clean and refreshing, and brings a simple and atmospheric sense of professionalism to users.

[0202] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A trademark early warning method based on big data, characterized in that: The method comprises: S1. Search the industrial and commercial information, trademark information and other yellow pages information published on the external network, compare the industrial and commercial information and trademark information, and obtain the early warning database; S2. Screening the warning database to obtain the warning trademarks that meet the screening criteria and the business information of the entities to which the trademarks belong, and obtaining target customer information; S3. Select warning conditions, process warning information for target customers, and obtain warning customers that meet the warning conditions; S4. Provide follow-up services to early warning customers and expand the functions of the trademark early warning platform, so that early warning customers can obtain complete early warning services and rich-featured early warning service platform experience; The step of selecting early warning conditions, processing early warning information of target customers, and obtaining early warning customers that meet the early warning conditions includes: S31. Search the early warning database, compare the customer's trademark with similar trademarks in the database, select the opposed trademark based on the comparison results, and obtain the opposed trademark information; S32. Check the address and name information of the company that owns the trademark, filter out the information of the subject that is inconsistent with the name and address of the industrial and commercial information and the trademark information, and obtain the customer information of the changed trademark; S33. Compare the trademarks submitted by the customer, calculate the rejection probability by using the trademark similarity comparison, and obtain the corresponding trademark application measures based on the rejection probability; S34, comparing the trademark database, screening the trademarks in the announced state, obtaining the trademark information in the announced state, and generating the announced trademark database; S35, comparing the trademark database, screening rejected trademarks, obtaining rejected trademark information, and generating a rejected trademark database; S36. Monitor all trademarks under the customer's name, screen trademarks with expired protection periods, obtain information on customers whose trademarks have been renewed, and generate a database of customers whose trademarks have been renewed; The trademark similarity comparison includes: Search for similar trademarks with the same words and pronunciation as the compared trademarks, words with a single word stroke difference of less than 3 strokes, and words with pronunciations that differ only in flat tongue, retroflex tongue, and front and back nasal sounds, and select similar trademarks that overlap with the compared trademark category for comparison; The edges of the comparison trademark and the similar trademark are cropped, and the edges of the cropped trademarks are inscribed in the blank circular plane. After the blank circular plane is enlarged year-on-year, the comparison trademark and the similar trademark have the same size; The circular plane is divided into n equal parts. Similarly, the trademarks to be compared and similar trademarks are also divided into n parts. The small planes divided by the circular plane are numbered as follows: , corresponding to the comparison of the trademark division small plane number S n , similar to the small plane number S divided by similar trademarks n , compare the trademark facets with the same number; If two facets with the same serial number are completely filled or completely empty, then the facets with the same serial number are the same, the similarity D is 100%, and the similarity contribution value is ; Adding up the similarity contribution values ​​of all the serial number facets gives the similarity between the compared trademark and the similar trademark; If one of the two facets with the same serial number is completely filled and the other is completely blank, the similarity D is 0 and the similarity contribution G is 0; If two small planes with the same sequence number are filled with content, calculate the overlapping area of ​​the content and set the overlapping area to , the filled area of ​​the small plane of the comparison trademark is , compared with the filled area of ​​the small plane of the trademark , is the ratio of the overlapping area to the filled area of ​​the comparison trademark, To compare the proportion of the difference between the filled area and the overlapping area of ​​the trademark to the area ratio, The similarity is the ratio of the difference between the filled area and the overlapped area of ​​similar trademarks to the area. , The similarity contribution value is G= , The overall similarity between the compared trademark and the similar trademark in the same direction is , Rotate the comparison trademark once and continue to compare it with the comparison trademark. After rotating it 360 degrees clockwise, extract , when When the ratio is ≤30%, the similarity between the compared trademark and the similar trademark is low, and the similar trademark does not cause trademark danger or infringement impact to the compared trademark; when When >30%, the compared trademark and the similar trademark have a high degree of similarity. The overlapped parts of the plane area with the same serial number are selected. The number of overlapped parts is m. The edge function of the content part of the compared trademark is , The marginal function of the filling part of similar trademark content is: , x is the horizontal coordinate in the same number plane, in a same number plane, The difference of linear functions of the same plane number is d= , The difference of overlapping line functions F = , When the difference F>0.3, the difference is obvious and the similarity is low. When the difference F≤0.3, the difference is not obvious and the similarity is high. When this value appears, a similar result warning prompt is issued.

2. According to the big data-based trademark early warning method of claim 1, it is characterized in that: Search the business information, trademark information and other yellow pages information published on the Internet, compare the business information and trademark information, and obtain the early warning database, including: S11, search the public information on the Industrial and Commercial Information Publicity Network, the Trademark Information Publicity Network and the Yellow Pages website, search the public information by keywords and then fuzzily download it to the trademark early warning platform server to obtain the external network database; S12. Compare the industrial and commercial information data and the yellow pages information in the external network database, perform an out-of-service number detection on the contact numbers disclosed by the industrial and commercial enterprise entities through an empty number detection platform, remove the enterprise entities that cannot be contacted in the early warning database, screen the enterprise entities that are in normal business status, and obtain the industrial and commercial database of the enterprise entities that can be contacted; S13, comparing the trademark data information in the external network database, marking the status of the trademark, searching through the early warning marking conditions in the early warning database, obtaining the trademark information that meets the early warning data conditions, and obtaining the trademark database; S14. The trademark database is linked to the industrial and commercial database to obtain an early warning database with trademark and subject industrial and commercial information.

3. According to the big data-based trademark early warning method of claim 1, it is characterized in that: The warning database is screened to obtain the business information of the warning trademarks and the entities to which the trademarks belong that meet the screening requirements, and to obtain the target customer information, including: S21, performing fuzzy comparison on the warning data, identifying the administrative regions of the customer entities in the database, dividing them according to provinces and cities, searching the divided regions to obtain the industrial and commercial and trademark information of the corresponding regions; S22. In the early warning database operation interface, enter the existing service customers, and obtain all trademark information under the customer's name by comparing the customer's name with the trademark information. Existing customers can obtain accurate trademark early warning services; S23. Search all industrial and commercial entities in the early warning database area, compare the industrial and commercial entities with the trademarks of the same entities in the trademark database, and obtain target customer information through multiple comparisons.

4. According to the big data-based trademark early warning method of claim 1, it is characterized in that: Provide follow-up services to early warning customers and expand the functions of the trademark early warning platform. Early warning customers will receive comprehensive early warning services and a feature-rich early warning service platform experience, including: S41. Allocate the customer with the obtained trademark warning information to a designated employee account. All trademark business under the customer's name will be followed up by the designated employee account. After each follow-up, the follow-up record and results will be obtained and the next follow-up time will be set; S42. Assess the risk level of the customers being followed up, and send follow-up reminders to the employee account based on the customer's activity level; S43. Follow up on the trademark cases of the clients we follow up on. When a trademark case is lost, analyze the client’s historical cooperation record and risk level assessment to remind the client of the loss and take measures to recover the lost client; S44. Authorize and register trademarks that can be sold, and display them in the joint operation center of the trademark early warning platform. By searching by category and keyword, the trademarks that are normally sold can be screened, and customers who need trademarks can obtain the information on the trademarks for sale; S45, customizing the amount of information per page displayed by the search to adapt to the operation habits of different amounts of content, counting the data downloaded, and obtaining the remaining amount of data downloaded by the platform; S46. The trademark early warning platform has a sales training and business popularization section, regularly updates videos or articles, and obtains the trademark early warning platform information learning section; S47. The trademark warning platform uses mobile phone verification and confirmation to change the mobile phone number and password, so that the warning information is safe.

5. A trademark early warning system based on big data, characterized in that: The system comprises: The early warning data collection module is used to search the industrial and commercial information, trademark information and other yellow pages information published on the external network, compare and process the industrial and commercial information and trademark information, and obtain the early warning database; A regional customer screening module is used to screen the warning database, obtain the warning trademarks that meet the screening requirements and the business information of the entities to which the trademarks belong, and obtain target customer information; The early warning condition processing module is used to select early warning conditions, process early warning information for target customers, and obtain early warning customers that meet the early warning conditions; The early warning customer service module is used to provide tracking services to early warning customers and expand the functions of the trademark early warning platform. Early warning customers can obtain comprehensive early warning services and a feature-rich early warning service platform experience; The warning condition processing module includes: The objection prediction module is used to search the early warning database, compare the customer's trademark with similar trademarks in the database, select the objection trademark based on the comparison results, and obtain the objection trademark information; The industrial and commercial change module detects the address and name information of the company that owns the trademark, filters out the subject information whose industrial and commercial information is inconsistent with the name and address of the trademark information, and obtains the customer information of the changed trademark; The rejection prediction module is used to compare the trademarks submitted by customers, calculate the rejection probability by using the trademark similarity comparison, and obtain the corresponding trademark application measures based on the rejection probability; The announcement delivery module is used to compare the trademark database, screen the trademarks in the announcement status, obtain the trademark information in the announcement status, and generate the announcement trademark database; The rejection review module is used to compare the trademark database, screen rejected trademarks, obtain rejected trademark information, and generate a rejected trademark database; The trademark renewal module is used to monitor all trademarks under the customer's name, screen trademarks whose protection period has expired, obtain trademark renewal customer information, and generate a trademark renewal customer database; The trademark similarity comparison includes: Search for similar trademarks with the same words and pronunciation as the compared trademarks, words with a single word stroke difference of less than 3 strokes, and words with pronunciations that differ only in flat tongue, retroflex tongue, and front and back nasal sounds, and select similar trademarks that overlap with the compared trademark category for comparison; The edges of the comparison trademark and the similar trademark are cropped, and the edges of the cropped trademarks are inscribed in the blank circular plane. After the blank circular plane is enlarged year-on-year, the comparison trademark and the similar trademark have the same size; The circular plane is divided into n equal parts. Similarly, the trademarks to be compared and similar trademarks are also divided into n parts. The small planes divided by the circular plane are numbered as follows: , corresponding to the comparison of the trademark division small plane number S n , similar to the small plane number S divided by similar trademarks n , compare the trademark facets with the same number; If two facets with the same serial number are completely filled or completely empty, then the facets with the same serial number are the same, the similarity D is 100%, and the similarity contribution value is ; Adding up the similarity contribution values ​​of all the serial number facets gives the similarity between the compared trademark and the similar trademark; If one of the two facets with the same serial number is completely filled and the other is completely blank, the similarity D is 0 and the similarity contribution G is 0; If two small planes with the same sequence number are filled with content, calculate the overlapping area of ​​the content and set the overlapping area to , the filled area of ​​the small plane of the comparison trademark is , compared with the filled area of ​​the small plane of the trademark , is the ratio of the overlapping area to the filled area of ​​the comparison trademark, To compare the proportion of the difference between the filled area and the overlapping area of ​​the trademark to the area ratio, It is the ratio of the difference between the filled area and the overlapping area of ​​similar trademarks to the area. The similarity is , The similarity contribution value is G= , The overall similarity between the compared trademark and the similar trademark in the same direction is , Rotate the comparison trademark once and continue to compare it with the comparison trademark. After rotating it 360 degrees clockwise, extract , when When the ratio is ≤30%, the similarity between the compared trademark and the similar trademark is low, and the similar trademark does not cause trademark danger or infringement impact to the compared trademark; when When >30%, the compared trademark and the similar trademark have a high degree of similarity. The overlapped parts of the plane area with the same serial number are selected. The number of overlapped parts is m. The edge function of the content part of the compared trademark is , the marginal function of the similar trademark content filling part is , x is the horizontal coordinate in the same number plane, in a same number plane, The difference of linear functions of the same plane number is d= , The difference of overlapping line functions F = , When the difference F>0.3, the difference is obvious and the similarity is low. When the difference F≤0.3, the difference is not obvious and the similarity is high. When this value appears, a similar result warning prompt is issued.

6. A trademark early warning system based on big data according to claim 5, characterized in that: The early warning data collection module includes: The external network collection module is used to search the public information of the industrial and commercial information disclosure network, the trademark information disclosure network and the yellow page website, and fuzzily download the public information to the trademark early warning platform server after matching the keywords to obtain the external network database; The industrial and commercial data module is used to compare the industrial and commercial information data and the yellow pages information in the external network database, perform an empty number shutdown detection on the contact numbers disclosed by the industrial and commercial enterprise entities through the empty number detection platform, remove the enterprise entities that cannot be contacted in the early warning database, screen the enterprise entities with normal business status, and obtain the industrial and commercial database of the enterprise entities that can be contacted; The trademark data module is used to compare the trademark data information in the external network database, mark the status of the trademark, search through the early warning marking conditions in the early warning database, obtain the trademark information that meets the early warning data conditions, and obtain the trademark database; The early warning data module is used to associate the trademark database with the industrial and commercial database to obtain an early warning database with trademark and subject industrial and commercial information.

7. According to claim 5, a trademark early warning system based on big data is characterized in that: The regional customer screening module includes: The regional division module is used to perform fuzzy comparison on the warning data, identify the administrative regions of the customer entities in the database, divide them according to provinces and cities, and search the divided regions to obtain the industrial and commercial and trademark information of the corresponding regions; The customer import module is used to enter existing service customers in the early warning database operation interface, and obtain all trademark information under the customer's name by comparing the customer's name with the trademark information. Existing customers can obtain accurate trademark early warning services; The target screening module is used to search all industrial and commercial entities in the early warning database area, compare the industrial and commercial entities with the trademarks of the same entities in the trademark database, and obtain target customer information through multiple comparisons.

8. According to claim 5, a trademark early warning system based on big data is characterized in that: The early warning customer service module includes: The allocation and follow-up module is used to allocate the customers with trademark warning information to designated employee accounts. All trademark businesses under the customer's name are followed up by the designated employee account. After each follow-up, the follow-up records and results are obtained and the next follow-up time is set; The risk reminder module is used to classify the risk level of the followed customers and send follow-up reminders to the employee account based on the customer's activity; The churn analysis module is used to follow up on the trademark cases of the customers. When a trademark case is lost, the module analyzes the customer's historical cooperation records and risk level assessment to remind customers of the loss and take measures to recover the lost customers. The trademark sales module is used to authorize and register trademarks that can be sold, and display them in the trademark early warning platform joint operation center. By searching by category and keyword, the trademarks that are normally sold can be screened, and customers who need trademarks can obtain information on trademarks for sale; Set the download module, which is used to customize the number of information per page displayed by the search, adapt to the operation habits of different amounts of content, count the data downloaded, and obtain the remaining data downloaded by the platform; The platform learning module is used to set up sales training and business popularization sections on the trademark early warning platform, regularly update videos or articles, and obtain information learning sections on the trademark early warning platform; The security setting module is used to verify and confirm the changed mobile phone number and password through mobile phone verification to obtain early warning data security protection.

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