CN114064574A

CN114064574A - Trademark monitoring method and device combining RPA and AI, electronic equipment and storage medium

Info

Publication number: CN114064574A
Application number: CN202111266342.4A
Authority: CN
Inventors: 陈愫恺; 汪冠春; 胡一川; 褚瑞; 李玮
Original assignee: Beijing Laiye Network Technology Co Ltd; Laiye Technology Beijing Co Ltd
Current assignee: Beijing Laiye Network Technology Co Ltd; Laiye Technology Beijing Co Ltd
Priority date: 2021-10-28
Filing date: 2021-10-28
Publication date: 2022-02-18

Abstract

The application provides a trademark monitoring method, a device, electronic equipment and a storage medium which are combined with RPA and AI, wherein the trademark monitoring method comprises the following steps: the method comprises the steps that a robot process automation RPA robot is controlled to respond to a detected trademark monitoring event, trademark information corresponding to a target notice is obtained from a trademark inquiry platform, wherein the trademark information comprises a trademark name; controlling the RPA robot to acquire trademark files corresponding to the trademark information from the trademark inquiry platform; controlling the RPA robot to respectively detect the trademark name and the trademark file so as to generate a detection result; and if the detection result meets the set condition, controlling the RPA robot to write the trademark information into the target file and putting the trademark file into the target folder. Therefore, the latest released trademark announcement of the automatic supervision trademark inquiry platform can be realized, the corresponding information and files of the same trademark can be automatically arranged, the supervision efficiency is improved, and the labor cost is saved.

Description

Trademark monitoring method and device combining RPA and AI, electronic equipment and storage medium

Technical Field

The application relates to the technical field of RPA and AI, in particular to a trademark monitoring method and device, electronic equipment and a storage medium which are combined with the RPA and the AI.

Background

Robot Process Automation (RPA) is a Process task that simulates human operations on a computer by specific "robot software" and executes automatically according to rules.

Artificial Intelligence (AI) is a technical science that studies and develops theories, methods, techniques and application systems for simulating, extending and expanding human Intelligence.

At present, the RPA and AI technologies have the advantages of high automation degree, high accuracy and low cost.

In order to prevent the newly registered trademark from being identical to the core trademark of the company, a website of 'national intellectual property office trademark office' is logged in, and trademark bulletins at each stage are checked to check whether the newly issued trademark is identical to the core trademark of the company.

The national intellectual property office trademark office issues a new trademark initial examination notice every week, trademark applications with the order of about 2.7 to 4.6 ten thousand are issued every day, and 20 trademark applications are displayed on each page of a webpage, wherein the number of pages is 1 to 2 ten thousand. At present, the newly issued trademark is mainly clicked and checked in a manual mode, whether the newly issued trademark is identical to the trademark of the company is checked, if yes, downloading and sorting are carried out, but the manual checking mode is low in efficiency and easy to miss detection.

Disclosure of Invention

The present application aims to solve at least to some extent one of the technical problems in the above-mentioned technology.

Therefore, a first objective of the present application is to provide a trademark monitoring method combining RPA and AI, which can implement the latest released trademark announcement of an automatic trademark monitoring query platform, and can automatically arrange the corresponding information and files of the same trademark, thereby improving the monitoring efficiency and saving the labor cost.

A second object of the present application is to propose a brand monitoring device that combines RPA and AI.

A third object of the present application is to provide an electronic device.

A fourth object of the present application is to propose a computer readable storage medium.

A fifth object of the present application is to propose a computer program product.

In order to achieve the above object, an embodiment of the first aspect of the present application provides a trademark monitoring method combining RPA and AI, including: the method comprises the steps that a robot process automation RPA robot is controlled to respond to a detected trademark monitoring event, trademark information corresponding to a target notice is obtained from a trademark inquiry platform, wherein the trademark information comprises a trademark name; controlling the RPA robot to acquire trademark files corresponding to the trademark information from the trademark inquiry platform; controlling the RPA robot to respectively detect the trademark name and the trademark file so as to generate a detection result; and if the detection result meets the set condition, controlling the RPA robot to write the trademark information into a target file and putting the trademark file into a target folder.

According to the trademark monitoring method combining the RPA and the AI, firstly, the robot flow automation RPA robot is controlled to respond to the detection of a trademark monitoring event, trademark information corresponding to target bulletin is obtained from the trademark inquiry platform, wherein the trademark information comprises a trademark name, then the RPA robot is controlled to obtain a trademark file corresponding to the trademark information from the trademark inquiry platform, the RPA robot is controlled to respectively detect the trademark name and the trademark file to generate a detection result, and if the detection result meets a set condition, the RPA robot is controlled to write the trademark information into a target file and place the trademark file into a target folder. Therefore, the latest released trademark announcement of the automatic supervision trademark inquiry platform can be realized, the corresponding information and files of the same trademark can be automatically arranged, the supervision efficiency is improved, and the labor cost is saved.

In addition, the trademark monitoring method combining RPA and AI proposed according to the above embodiments of the present application may also have the following additional technical features:

in one embodiment of the present application, said controlling the RPA robot in response to detecting the brand audit event further comprises: and controlling the RPA robot to log in the trademark inquiry platform.

In one embodiment of the present application, the trademark monitoring method combining RPA and AI further includes: and if the target notice is not monitored, controlling the RPA robot to determine that the trademark monitoring event is detected, wherein the target notice is a latest trademark initial examination notice.

In one embodiment of the application, the controlling the RPA robot to detect the brand name and the brand file respectively to generate a detection result includes: controlling the RPA robot to acquire keywords and an image to be compared; controlling the RPA robot to extract a trademark image from the trademark file; controlling the RPA robot to recognize the trademark image based on an Optical Character Recognition (OCR) technology to generate a target text; controlling the RPA robot to match the keywords with the brand name and the target text respectively so as to generate a matching result; controlling the RPA robot to carry out similarity comparison on the image to be compared and the trademark image according to an image similarity comparison model so as to generate a comparison result, wherein the comparison result comprises a similarity value between the image to be compared and the trademark image; and controlling the RPA robot to generate the detection result according to the matching result and the comparison result.

In one embodiment of the present application, the trademark monitoring method combining RPA and AI further includes: further comprising: if the keyword is successfully matched with the trademark name, controlling the RPA robot to determine that the detection result meets the set condition; if the keyword is successfully matched with the target text, controlling the RPA robot to determine that the detection result meets the set condition; and if the similarity value is larger than a similarity threshold value, controlling the RPA robot to determine that the detection result meets the set condition.

In an embodiment of the application, after the controlling the RPA robot obtains the trademark file corresponding to the trademark information from the trademark querying platform, the method further includes: controlling the RPA robot to place the trademark file into a temporary folder; and if the detection result does not meet the set condition, controlling the RPA robot to delete the trademark file from the temporary folder.

In order to achieve the above object, a second embodiment of the present application provides a trademark monitoring device combining RPA and AI, including: the first acquisition module is used for controlling the robot process automation RPA robot to respond to the detection of a trademark supervision event and acquire trademark information corresponding to a target notice from a trademark inquiry platform, wherein the trademark information comprises a trademark name; the second acquisition module is used for controlling the RPA robot to acquire the trademark file corresponding to the trademark information from the trademark inquiry platform; the detection module is used for controlling the RPA robot to respectively detect the trademark name and the trademark file so as to generate a detection result; and the processing module is used for controlling the RPA robot to write the trademark information into a target file and putting the trademark file into a target folder if the detection result meets a set condition.

The trademark monitoring device combining the RPA and the AI, according to the embodiment of the application, firstly, the first acquisition module controls the robot process automation RPA robot to respond to the detection of a trademark monitoring event, trademark information corresponding to a target notice is acquired from the trademark query platform, wherein the trademark information comprises a trademark name, then the second acquisition module controls the RPA robot to acquire a trademark file corresponding to the trademark information from the trademark query platform, the detection module controls the RPA robot to respectively detect the trademark name and the trademark file to generate a detection result, and if the detection result meets a set condition, the processing module controls the RPA robot to write the trademark information into a target file and place the trademark file into a target folder. Therefore, the latest released trademark announcement of the automatic supervision trademark inquiry platform can be realized, the corresponding information and files of the same trademark can be automatically arranged, the supervision efficiency is improved, and the labor cost is saved.

In addition, the trademark monitoring device combining the RPA and the AI proposed according to the above-mentioned embodiment of the present application may also have the following additional technical features:

in one embodiment of the present application, the trademark monitoring device combining RPA and AI further includes: and the login module is used for controlling the RPA robot to log in the trademark inquiry platform.

In one embodiment of the present application, the trademark monitoring device combining RPA and AI further includes: and the first determining module is used for controlling the RPA robot to determine that the trademark monitoring event is detected if the target notice is not monitored, wherein the target notice is a latest trademark initial examination notice.

In an embodiment of the present application, the detection module is specifically configured to: controlling the RPA robot to acquire keywords and an image to be compared; controlling the RPA robot to extract a trademark image from the trademark file; controlling the RPA robot to recognize the trademark image based on an Optical Character Recognition (OCR) technology so as to generate a target text; controlling the RPA robot to match the keywords with the brand name and the target text respectively so as to generate a matching result; controlling the RPA robot to carry out similarity comparison on the image to be compared and the trademark image according to an image similarity comparison model so as to generate a comparison result, wherein the comparison result comprises a similarity value between the image to be compared and the trademark image; and controlling the RPA robot to generate the detection result according to the matching result and the comparison result.

In one embodiment of the present application, the trademark monitoring device combining RPA and AI further includes: a second determination module to: if the keyword is successfully matched with the trademark name, controlling the RPA robot to determine that the detection result meets the set condition; if the keyword is successfully matched with the target text, controlling the RPA robot to determine that the detection result meets the set condition; and if the similarity value is larger than a similarity threshold value, controlling the RPA robot to determine that the detection result meets the set condition.

In one embodiment of the present application, the trademark monitoring device combining RPA and AI further includes: the putting-in module is used for controlling the RPA robot to put the trademark file into a temporary folder; and the deleting module is used for controlling the RPA robot to delete the trademark file from the temporary folder if the detection result does not meet the set condition.

To achieve the above object, a third aspect of the present application provides an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform a trademark monitoring method in combination with RPA and AI as described in embodiments of the first aspect of the present application.

According to the electronic equipment, the processor executes the instructions stored on the memory, the robot process automation RPA robot is controlled to respond to the detection of a trademark supervision event, trademark information corresponding to a target notice is acquired from a trademark inquiry platform, and the trademark information comprises a trademark name; controlling the RPA robot to acquire trademark files corresponding to the trademark information from the trademark inquiry platform; controlling the RPA robot to respectively detect the trademark name and the trademark file so as to generate a detection result; and if the detection result meets the set condition, controlling the RPA robot to write the trademark information into a target file and putting the trademark file into a target folder. Therefore, the latest released trademark announcement of the automatic supervision trademark inquiry platform can be realized, the corresponding information and files of the same trademark can be automatically arranged, the supervision efficiency is improved, and the labor cost is saved.

To achieve the above object, a fourth embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements a trademark monitoring method combining RPA and AI as described in the first embodiment of the present application.

The computer-readable storage medium stores a computer program and is executed by a processor, and controls a Robot Process Automation (RPA) robot to acquire trademark information corresponding to a target announcement from a trademark inquiry platform in response to detecting a trademark supervision event, wherein the trademark information comprises a trademark name; controlling the RPA robot to acquire trademark files corresponding to the trademark information from the trademark inquiry platform; controlling the RPA robot to respectively detect the trademark name and the trademark file so as to generate a detection result; and if the detection result meets the set condition, controlling the RPA robot to write the trademark information into a target file and putting the trademark file into a target folder. Therefore, the latest released trademark announcement of the automatic supervision trademark inquiry platform can be realized, the corresponding information and files of the same trademark can be automatically arranged, the supervision efficiency is improved, and the labor cost is saved.

To achieve the above object, a fifth embodiment of the present application provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the computer program implements the trademark monitoring method combining RPA and AI according to the first embodiment of the present application.

Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.

Drawings

The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:

FIG. 1 is a schematic flow diagram of a brand monitoring method incorporating RPA and AI according to one embodiment of the present application;

FIG. 2 is a schematic illustration of a trademark publication according to one embodiment of the present application;

FIG. 3 is a table illustrating a listing of brand information according to one embodiment of the present application;

FIG. 4 is a schematic flow diagram of a trademark surveillance method incorporating RPA and AI according to another embodiment of the present application;

FIG. 5 is a schematic flow chart of a brand monitoring method incorporating RPA and AI according to another embodiment of the present application;

FIG. 6 is a schematic flow chart of a trademark surveillance method combining RPA and AI according to another embodiment of the present application;

FIG. 7 is a flowchart of a specific example of a brand monitoring method incorporating RPA and AI according to one embodiment of the present application; and

fig. 8 is a block schematic diagram of a brand monitoring apparatus incorporating RPA and AI in accordance with one embodiment of the present application.

Detailed Description

Reference will now be made in detail to the embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application and should not be construed as limiting the present application.

A trademark monitoring method, an apparatus, an electronic device, and a storage medium that combine RPA (robot Process Automation) and AI (Artificial Intelligence) according to an embodiment of the present application will be described below with reference to the accompanying drawings.

In order to clearly understand the technical solution of the embodiments of the present application, the following explains key words related to the embodiments of the present application:

target announcement: the national intellectual property office trademark office issues a new trademark preliminary examination notice on a trademark inquiry platform every week, the trademark inquiry platform comprises a historical trademark preliminary examination notice and a latest trademark preliminary examination notice, and the target notice refers to the latest trademark preliminary examination notice.

Trademark supervision event: and (4) indicating an event that the latest trademark primary examination bulletin in the trademark inquiry platform is not observed, namely an event that the target bulletin is not observed. The monitoring means that the RPA robot is controlled to perform polling check on all trademark information in the target bulletin so as to judge whether the same trademark exists in the target bulletin.

Trademark file: refers to a file storing a picture and details of a logo. A large number of trademark initial examination notices are issued in the trademark inquiry platform, each notice comprises information of a published trademark, each trademark information corresponds to a trademark file, and the trademark file stores pictures and detailed contents of the trademark.

And (3) detection results: the result generated after the RPA robot is controlled to detect the brand name and the brand file corresponding to the brand information in the target bulletin, includes the brand name of the brand information and whether keywords in the second party brand exist in the brand file, and whether the brand image in the brand file is similar to the second party brand image.

Setting conditions: the setting condition of the present embodiment refers to a condition for judging the detection result, and may be specifically set by the relevant person according to the need and the actual situation, and in practice, the setting condition is a condition for judging whether the detected trademark is identical to the own trademark, specifically, the condition is that the trademark name of the detected trademark and the keyword in the trademark file exist, and the trademark image in the trademark file of the detected trademark is similar to the own trademark image.

The trademark monitoring method combining the RPA and the AI provided in the embodiment of the present application may be executed by an electronic device, where the electronic device may be a PC (Personal Computer), a tablet Computer, a palmtop Computer, a mobile phone, or the like, and is not limited herein.

In the embodiment of the application, the electronic device can be provided with a processing component, a storage component and a driving component. Alternatively, the driver component and the processing component may be integrated, the storage component may store an operating system, an application program, or other program modules, and the processing component implements the trademark monitoring method by combining the RPA and the AI provided in the embodiment of the present application by executing the application program stored in the storage component.

Fig. 1 is a flowchart illustrating a trademark monitoring method combining RPA and AI according to an embodiment of the present application.

The trademark monitoring method combining the RPA and the AI according to the embodiment of the present application can be further implemented by the trademark monitoring device combining the RPA and the AI according to the embodiment of the present application, which can be configured in an electronic device to control a robot process automation RPA robot to acquire trademark information corresponding to a target notice from a trademark query platform in response to detecting a trademark monitoring event, where the trademark information includes a trademark name, then control the RPA robot to acquire a trademark file corresponding to the trademark information from the trademark query platform, and control the RPA robot to detect the trademark name and the trademark file respectively to generate a detection result, and if the detection result satisfies a set condition, control the RPA robot to write the trademark information into the target file and place the trademark file into a target folder, so as to achieve the automatic monitoring of the trademark notice issued by the trademark query platform, and can arrange corresponding information and file of the same trade mark of thunder in order automatically, has improved the efficiency of supervision to the human cost has been saved.

As a possible situation, the trademark monitoring method combining the RPA and the AI in the embodiment of the present application may also be executed at a server, where the server may be a cloud server, and the trademark monitoring method combining the RPA and the AI may be executed at a cloud.

As shown in fig. 1, the trademark monitoring method combining RPA and AI may include:

and S101, controlling the RPA robot to acquire trademark information corresponding to the target bulletin from the trademark inquiring platform in response to the detection of the trademark supervising event, wherein the trademark information can comprise a trademark name. There may be more than one of the trademark information.

In an embodiment of the present application, a trademark inquiry platform (e.g., a website for inquiry provided by xxx trademark office) issues trademark approval bulletins periodically (e.g., weekly), and the electronic device may control the RPA robot to inquire the issued trademark approval bulletins in the inquiry platform.

Specifically, the electronic device may control the RPA robot to click a "trademark bulletin" button on a related page provided by the trademark inquiry platform, and enter a trademark bulletin page after the click is successful, where the page may include each issued trademark preliminary examination bulletin (i.e., a preliminary examination bulletin list) and may include target bulletins, where the multi-stage trademark preliminary examination bulletins in the page may be arranged in reverse order according to time, that is, the latest issued trademark preliminary examination bulletins are arranged at the top, as shown in fig. 2. It should be noted that the target notice described in this embodiment may be a latest trademark approval notice.

Further, in the embodiment of the present Application, the electronic device may control the RPA robot to detect whether the trademark monitoring event is triggered in real time through an associated API (Application Programming Interface), so that the electronic device may control the RPA robot to respond to the trademark monitoring event in time when the trademark monitoring event is detected.

Specifically, the electronic device may control the RPA robot to detect a trademark monitoring event in real time through a relevant API, and when the trademark monitoring event is detected, control the RPA robot to acquire trademark information corresponding to a target bulletin from the trademark query platform, that is, control the RPA robot to click the target bulletin to enter a trademark information list corresponding to the target bulletin, where the trademark information list may include all trademark information corresponding to the target bulletin, and thus, may acquire all trademark information corresponding to the target bulletin.

And S102, controlling the RPA robot to acquire trademark files corresponding to the trademark information from the trademark inquiry platform. The Format of the trademark file may be PDF (Portable Document Format), Word Format, or picture Format, and the trademark file may include trademark pictures and detailed contents.

In this embodiment, after the electronic device controls the RPA robot to acquire the trademark information list, the electronic device may control the RPA robot to poll and view the trademark information of each line of the trademark information list to acquire trademark files corresponding to all the trademark information in the trademark information list.

Specifically, referring to fig. 3, the electronic device may control the RPA robot to sequentially click a "view" button corresponding to each line of trademark information in the trademark information list, open the trademark file after the click is successful, view the trademark file corresponding to each line of trademark information, and download the trademark file into a designated folder (temporary folder), so as to obtain the trademark files corresponding to all the trademark information in the trademark information list.

It should be noted that the designated folder described in this embodiment may be a folder known to the RPA robot described above. The designated folder can be automatically created by the RPA robot or created by related personnel in advance and informs the RPA robot.

And S103, controlling the RPA robot to respectively detect the trademark name and the trademark file so as to generate a detection result.

In the embodiment of the application, the RPA robot can be controlled to detect the brand name and the brand file respectively based on a preset detection strategy so as to generate a detection result. The preset detection strategy can be calibrated according to actual conditions and requirements.

Specifically, after controlling the RPA robot to acquire the brand name and the brand file, the electronic device may continue to control the RPA robot to detect the brand name and the brand file respectively based on a preset detection policy to generate a detection result.

And S104, if the detection result meets the set condition, controlling the RPA robot to write the trademark information into the target file, and putting the trademark file into the target folder. The target file can also be placed in a target folder, and the format of the target file can include an Excel format, a Word format and the like. It should be noted that the setting conditions described in this embodiment may be calibrated according to actual conditions and requirements.

In this embodiment of the present application, before the electronic device controls the RPA robot to detect the brand name and the brand file, a relevant worker (service person) may first create the target file and the target folder in advance in a storage space of the electronic device according to a relevant requirement. It should be noted that the target file and the target folder described in this embodiment may be a file and a folder known to the RPA robot described above, respectively.

Specifically, the electronic device controls the RPA robot to detect a brand name and a brand file, and after obtaining the detection result, may determine whether the detection result satisfies the setting condition, and if so, may indicate that the brand corresponding to the brand information is the same brand, and at this time, may control the RPA robot to write the brand information into the target file, and place the brand file into the target folder.

In the embodiment of the application, firstly, the robot flow automation RPA robot is controlled to respond to the detection of a trademark monitoring event, trademark information corresponding to target bulletin is obtained from a trademark inquiry platform, wherein the trademark information comprises a trademark name, then, the RPA robot is controlled to obtain a trademark file corresponding to the trademark information from the trademark inquiry platform, the RPA robot is controlled to respectively detect the trademark name and the trademark file so as to generate a detection result, and if the detection result meets a set condition, the RPA robot is controlled to write the trademark information into a target file and place the trademark file into a target folder. Therefore, the latest released trademark announcement of the automatic supervision trademark inquiry platform can be realized, the corresponding information and files of the same trademark can be automatically arranged, the supervision efficiency is improved, and the labor cost is saved.

For clarity of explanation of the above embodiments, in one embodiment of the present application, controlling the RPA robot in response to detecting the brand monitoring event may further include controlling the RPA robot to log in to the brand query platform.

In the embodiment of the present application, the RPA robot may be set to start up at a fixed time (for example, 8 am every day), and after the start-up, the electronic device may control the RPA robot to log in the trademark inquiry platform.

Specifically, after the RPA robot is started, the electronic device may control the RPA robot to open (call) the trademark inquiry platform, and control the RPA robot to log in the trademark inquiry platform.

As a possible scenario, if an account and a password need to be input when logging in the trademark query platform, the electronic device may control the RPA robot to input the account and the password on the login page of the trademark query platform, and log in the trademark query platform after the account and the password are input.

It should be noted that the account number and the password described in this embodiment may be pre-stored in the RPA robot by the relevant staff, so as to be called for use when needed.

Further, in an embodiment of the present application, the trademark monitoring method combining RPA and AI may further include controlling the RPA robot to determine that the trademark monitoring event is detected if the target bulletin is not monitored, wherein the target bulletin may be a latest trademark preliminary examination bulletin.

In the embodiment of the application, before the electronic device controls the RPA robot to inspect the target bulletin, the relevant staff may create an inspected bulletin file in advance, which is used for storing the term number of the bulletin, the bulletin date, the bulletin type and the time when the bulletin is inspected. It should be noted that the supervised bulletin file described in this embodiment may be the above-described RPA robot-aware file.

Specifically, after the electronic device controls the RPA robot to complete the supervision of the related trademark initial examination bulletin each time, the electronic device may control the RPA robot to obtain the supervision completion time, the bulletin period number, the bulletin date, the bulletin type and the like of the trademark initial examination bulletin, and write the supervision completion time, the bulletin period number, the bulletin date, the bulletin type and the like into the list of the supervision completion file, so as to be convenient for calling and using when needed.

Further, in this embodiment of the application, after the electronic device controls the RPA robot to log in the trademark query platform, the RPA robot may be controlled to check the latest trademark preliminary examination bulletin, and determine whether the bulletin has been supervised, if not, it may be determined that a trademark supervision event is detected, and the trademark supervision event may be responded to.

Specifically, after the electronic device controls the RPA robot to log in the trademark inquiry platform, the electronic device can control the RPA robot to acquire the notice period number, notice date and notice type of the latest trademark initial approval notice (target notice), control the RPA robot to open the supervision completion file, then search whether the notice period number identical to the target notice exists in the list of the supervision completion file, and if not, the target notice is not supervised, so that the trademark supervision event can be determined to be detected.

Therefore, repeated monitoring can be avoided, and a basis can be provided for monitoring.

In one embodiment of the present application, controlling the RPA robot to detect the brand name and the brand file, respectively, to generate a detection result may include:

s401, controlling the RPA robot to acquire keywords and images to be compared. The keywords and the images to be compared can be keywords and images of own trademarks respectively, and can also be calibrated according to actual conditions and requirements, without any limitation.

In the embodiment of the application, the related staff may pre-establish the file to be compared in the storage space of the electronic device, so as to store the keyword and the image to be compared. It should be noted that the file to be compared described in this embodiment may be a file known to the RPA robot as described above.

Specifically, after controlling the RPA robot to acquire a trademark file corresponding to the trademark information from the trademark query platform, the electronic device may acquire (call) the file to be compared from its own storage space, and analyze the file to be compared to acquire the keyword and the image to be compared.

And S402, controlling the RPA robot to extract a trademark image from the trademark file.

In the embodiment of the application, the RPA robot can be controlled to extract the trademark image from the trademark file according to a preset image extraction algorithm, wherein the preset image extraction algorithm can be calibrated according to actual conditions.

Specifically, after controlling the RPA robot to acquire the keyword and the image to be compared, the electronic device may continue to control the RPA robot to extract the trademark image from the trademark file according to a preset image extraction algorithm.

As a possible case, the RPA robot may be controlled to extract the brand file according to the image extraction model to generate the brand image. It should be noted that the image extraction model described in this embodiment may be trained in advance and pre-stored in the storage space of the electronic device or RPA robot to facilitate retrieval of the application.

The training and the generation of the image extraction model can be executed by a related training server, the training server can be a cloud server or a host of a computer, communication connection is established between the training server and the electronic equipment which can execute the trademark monitoring method combining the RPA and the AI, and the communication connection can be at least one of wireless network connection and wired network connection. The training server can send the trained image extraction model to the electronic equipment so that the electronic equipment can call the trained image extraction model when needed, and therefore the computing pressure of the electronic equipment is greatly reduced.

Specifically, after controlling the RPA robot to acquire the keyword and the image to be compared, the electronic device may control the RPA robot to call an image extraction model from its own storage space, and input the trademark file to the image extraction model, so as to extract the trademark file through the image extraction model, so as to obtain the trademark image output by the image extraction model.

As another possibility, the electronic device may also control the RPA robot to extract the trademark image from the trademark file using an image extraction tool (e.g., a plug-in).

Note that, the trademark image described in the above embodiments is generally on the first page of the trademark file.

And S403, controlling the RPA robot to recognize the trademark image based on an Optical Character Recognition (OCR) technology to generate a target text.

Specifically, after controlling the RPA robot to obtain the trademark image, the electronic device may continue to control the RPA robot to call the Mage platform, recognize the trademark image by using the general character OCR in the Mage platform, and generate the corresponding target text.

It should be noted that the Mage platform described in this embodiment may be installed in the electronic device, or may be installed on a server that can communicate with the electronic device, and the server may be a cloud server. The RPA robot can call the Mage platform through a related API (application program interface) so as to recognize the trademark image by using a general text recognition OCR (optical character recognition) in the Mage platform and generate a corresponding target text.

And S404, controlling the RPA robot to match the keywords with the brand name and the target text respectively so as to generate a matching result.

In the embodiment of the application, the RPA robot may be controlled to match the keyword with the brand name and the target text respectively based on a preset matching policy to generate a matching result. The preset matching strategy can be calibrated according to actual conditions and requirements.

Specifically, after controlling the RPA robot to obtain the target text, the electronic device may continue to control the RPA robot to match the keyword with the brand name and the target text, respectively, based on a preset matching policy, so as to generate a matching result.

As one possible case, the electronic device may control the RPA robot to match the keyword with the brand name and the target text, respectively, according to the matching model to generate a matching result. It should be noted that the matching model described in this embodiment may be trained in advance and pre-stored in the storage space of the electronic device or RPA robot to facilitate retrieval of the application.

Specifically, after controlling the RPA robot to obtain the target text, the electronic device may control the RPA robot to call a matching model from its own storage space, and may input a keyword, a brand name, and the target text to the matching model, so that the keyword is matched with the brand name and the target text through the matching model, respectively, to obtain a matching result output by the matching model.

S405, controlling the RPA robot to perform similarity comparison on the image to be compared and the trademark image according to the image similarity comparison model to generate a comparison result, wherein the comparison result comprises a similarity value between the image to be compared and the trademark image. It should be noted that the image similarity contrast model described in this embodiment may be trained in advance and pre-stored in the storage space of the electronic device or the RPA robot to facilitate retrieval and use.

Specifically, after the electronic device controls the RPA robot to acquire the image to be compared and the trademark image, the electronic device may control the RPA robot to call an image similarity contrast model from a storage space of the electronic device, and input the image to be compared and the trademark image into the image similarity contrast model, so that the image to be compared and the trademark image are subjected to similarity contrast by the image similarity contrast model, and a similarity value between the image to be compared and the trademark image output by the image similarity contrast model is obtained.

And S406, controlling the RPA robot to generate a detection result according to the matching result and the comparison result.

Specifically, after controlling the RPA robot to obtain the comparison result, the electronic device may generate the detection result directly according to the matching result and the comparison result.

Therefore, the detection result can be generated based on keyword matching and image similarity comparison, and data basis is provided for whether the trademark information needs to be written into the target file or not and the trademark file needs to be placed into the target file.

In one embodiment of the present application, as shown in fig. 5, the trademark monitoring method combining RPA and AI may further include:

and S501, if the keyword is successfully matched with the trademark name, controlling the RPA robot to determine that the detection result meets the set condition.

Specifically, when the electronic device controls the RPA robot to match the keyword with the brand name, whether the brand name includes the same character, the same tone character, or the same letter may be determined according to the keyword, and if so, the matching is successful, and it may be determined that the detection result satisfies the set condition.

And S502, if the keyword is successfully matched with the target text, controlling the RPA robot to determine that the detection result meets the set conditions.

Specifically, when the electronic device controls the RPA robot to match the keyword with the target file, whether the target file includes the same character, the same tone character, or the same letter may be determined according to the keyword, and if yes, the matching is successful, and it may be determined that the detection result satisfies the set condition.

And S503, if the similarity value is larger than the similarity threshold value, controlling the RPA robot to determine that the detection result meets the set condition. The similarity threshold value can be calibrated according to actual conditions.

Specifically, after the electronic device obtains the similarity value, the RPA robot may be controlled to determine whether the similarity value is greater than a similarity threshold, and if so, it may be determined that the detection result satisfies a set condition.

Therefore, whether the brand information corresponding to the target notice has the duplicate brand can be judged based on the detection result, and the quality of supervision is improved.

In an embodiment of the present application, as shown in fig. 6, after controlling the RPA robot to obtain the trademark file corresponding to the trademark information from the trademark query platform, the method may further include:

and S601, controlling the RPA robot to put the trademark file into a temporary folder.

In this embodiment of the application, before the electronic device controls the RPA robot to obtain the trademark file corresponding to the trademark information from the trademark query platform, the related staff may first establish the temporary folder in the storage space of the electronic device according to the related requirement. It should be noted that the temporary folders described in this embodiment may be folders that the RPA robot described above is aware of.

Specifically, after the electronic device controls the RPA robot to acquire the trademark file corresponding to the trademark information from the trademark inquiry platform, the electronic device may also control the RPA robot to place the trademark file in the temporary folder.

And S602, if the detection result does not meet the set condition, controlling the RPA robot to delete the trademark file from the temporary folder.

Specifically, after obtaining the detection result, the electronic device may control the RPA robot to determine whether the detection result satisfies the setting condition, and if not, the electronic device may control the RPA robot to delete the trademark file from the temporary folder; if yes, the RPA robot can be controlled to write the trademark information into the target file, and meanwhile, the trademark file corresponding to the trademark information in the temporary folder is moved into the target folder.

Therefore, the number of files stored in the temporary folder can be reduced, and the storage pressure of the electronic equipment is reduced.

In the embodiment of the application, after the electronic device controls the RPA robot to monitor the target announcement, the RPA robot may be controlled to log in a mail platform (e.g., an Office Automation (OA) mail platform), and after logging in, a notification mail is sent to a corresponding auditor to inform the auditor to perform auditing.

Specifically, after the electronic device controls the RPA robot to monitor the target bulletin, the RPA robot may be controlled to input an account and a password on a login page of the mail platform, and after successful login, a notification mail is created, a compression tool is called from a storage space of the electronic device, the target folder is compressed into a corresponding compression packet, the compression packet is added to an attachment of the notification mail, and the notification mail is sent to a corresponding auditor to inform the auditor to audit content in the target folder. The compression tool described in this embodiment may be pre-stored in the storage space of the electronic device by the relevant staff member, so as to be called for use when needed.

In order to make the present application more clear to those skilled in the art, fig. 7 is a flowchart of a specific example of a brand monitoring method combining RPA and AI. As shown in fig. 7, controlling the RPA robot to perform brand monitoring may include the steps of:

s701, a website (trademark inquiry platform) is registered.

S702, judging whether the latest period (announcement) is monitored. If yes, ending; if not, step S703 is performed.

S703, reading a line of trademark names.

S704, judging whether the trademark is a suspected object according to the keyword and the trademark name. If yes, go to step S711; if not, step S705 is performed.

S705, the PDF file (i.e., the trademark file corresponding to the trademark name) is downloaded.

S706, converting the PDF file into a picture.

S707, OCR recognition extracts character information.

And S708, judging whether the trademark is a suspected object or not according to the keywords and the character information. If yes, go to step S711; if not, step S709 is executed.

And S709, comparing the own trademark picture with the trademark picture.

S710, judging whether the trademark is a suspected object or not. If yes, go to step S711; if not, step S713 is performed.

And S711, writing the trademark information into the summary excel.

S712, the PDF file is moved to the summary folder.

S713, delete PDF files and pictures.

S714, judge whether there is next line. If yes, go to step S703; if not, step S715 is performed.

And S715, notifying the service personnel that all the inspections are finished, and ending.

Fig. 8 is a block diagram of a brand monitoring apparatus that incorporates RPA and AI in accordance with one embodiment of the present application.

The trademark monitoring device combining the RPA and the AI in the embodiment of the application can be configured in electronic equipment to realize controlling a robot process automation RPA robot to obtain trademark information corresponding to a target notice from a trademark query platform in response to detecting a trademark monitoring event, wherein the trademark information comprises a trademark name, then control the RPA robot to obtain a trademark file corresponding to the trademark information from the trademark query platform, control the RPA robot to respectively detect the trademark name and the trademark file to generate a detection result, and control the RPA robot to write the trademark information into the target file and place the trademark file into a target folder if the detection result meets a set condition, so that the latest issued trademark notice by the automatic monitoring query platform can be realized, the corresponding information and the file of the same trademark can be automatically arranged, and the monitoring efficiency is improved, and labor cost is saved.

The trademark monitoring method combining the RPA and the AI can be applied to a scene of monitoring the latest trademark bulletin on a trademark query platform, can query whether a trademark identical to the trademark of the own party exists in the latest trademark bulletin, and automatically arranges corresponding information and files of the trademark identical to the trademark.

As shown in fig. 8, the trademark monitoring apparatus 800 combining RPA and AI according to the embodiment of the present application includes: a first acquisition module 810, a second acquisition module 820, a detection module 830, and a processing module 840.

The first obtaining module 810 is configured to control the robot process automation RPA robot to obtain trademark information corresponding to the target bulletin from the trademark query platform in response to detecting the trademark monitoring event, where the trademark information includes a trademark name.

And a second obtaining module 820, configured to control the RPA robot to obtain a trademark file corresponding to the trademark information from the trademark query platform.

And a detection module 830, configured to control the RPA robot to detect the brand name and the brand file respectively to generate a detection result.

And the processing module 840 is used for controlling the RPA robot to write the trademark information into the target file and place the trademark file into the target folder if the detection result meets the set condition.

In one embodiment of the present application, the trademark monitoring apparatus 800 combining RPA and AI may further include: and a login module 850 for controlling the RPA robot to login the trademark inquiry platform.

In one embodiment of the present application, the trademark monitoring apparatus 800 combining RPA and AI may further include: a first determining module 860, configured to control the RPA robot to determine that the trademark monitoring event is detected if the target notice is not monitored, where the target notice is a latest trademark preliminary examination notice.

In an embodiment of the present application, the detecting module 830 is specifically configured to: controlling the RPA robot to acquire keywords and an image to be compared; controlling the RPA robot to extract a trademark image from the trademark file; controlling the RPA robot to recognize the trademark image based on an Optical Character Recognition (OCR) technology so as to generate a target text; controlling the RPA robot to match the keywords with the brand name and the target text respectively so as to generate a matching result; controlling the RPA robot to perform similarity comparison on the image to be compared and the trademark image according to the image similarity comparison model so as to generate a comparison result, wherein the comparison result comprises a similarity value between the image to be compared and the trademark image; and controlling the RPA robot to generate a detection result according to the matching result and the comparison result.

In one embodiment of the present application, the trademark monitoring apparatus 800 combining RPA and AI may further include: a second determining module 870 for: if the keyword is successfully matched with the trademark name, controlling the RPA robot to determine that the detection result meets the set condition; if the keyword is successfully matched with the target text, controlling the RPA robot to determine that the detection result meets the set condition; and if the similarity value is greater than the similarity threshold value, controlling the RPA robot to determine that the detection result meets the set condition.

In one embodiment of the present application, the trademark monitoring apparatus 800 combining RPA and AI may further include: a put module 880 and a delete module 890.

The putting module 880 is used for controlling the RPA robot to put the trademark file into the temporary folder; and the deleting module 890 is used for controlling the RPA robot to delete the trademark file from the temporary folder if the detection result does not meet the set condition.

It should be noted that, for details that are not disclosed in the trademark monitoring device combining RPA and AI in the embodiment of the present application, please refer to details that are disclosed in the trademark monitoring method combining RPA and AI in the above embodiment of the present invention, and details are not described here again.

To sum up, in the trademark monitoring device combining the RPA and the AI according to the embodiment of the present application, the first obtaining module controls the robot process automation RPA robot to obtain the trademark information corresponding to the target announcement from the trademark query platform in response to detecting the trademark monitoring event, where the trademark information includes the trademark name, the second obtaining module controls the RPA robot to obtain the trademark file corresponding to the trademark information from the trademark query platform, and the detecting module controls the RPA robot to respectively detect the trademark name and the trademark file to generate the detection result, and if the detection result meets the set condition, the processing module controls the RPA robot to write the trademark information into the target file and place the trademark file into the target folder. Therefore, the latest released trademark announcement of the automatic supervision trademark inquiry platform can be realized, the corresponding information and files of the same trademark can be automatically arranged, the supervision efficiency is improved, and the labor cost is saved.

In order to implement the above embodiments, the present application further proposes an electronic device, comprising at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the above trademark watch method in conjunction with RPA and AI.

According to the electronic device, the processor executes the instruction stored on the memory, the robot process automation RPA robot is controlled to respond to the detection of the trademark monitoring event, trademark information corresponding to the target bulletin is acquired from the trademark inquiry platform, and the trademark information comprises a trademark name; controlling the RPA robot to acquire trademark files corresponding to the trademark information from the trademark inquiry platform; controlling the RPA robot to respectively detect the trademark name and the trademark file so as to generate a detection result; and if the detection result meets the set condition, controlling the RPA robot to write the trademark information into the target file and putting the trademark file into the target folder. Therefore, the latest released trademark announcement of the automatic supervision trademark inquiry platform can be realized, the corresponding information and files of the same trademark can be automatically arranged, the supervision efficiency is improved, and the labor cost is saved.

In order to implement the above embodiments, the present application also proposes a computer-readable storage medium storing a computer program which, when executed by a processor, implements the above trademark monitoring method that combines RPA and AI.

The computer-readable storage medium stores a computer program and is executed by a processor, so that the Robot Process Automation (RPA) robot is controlled to respond to the detection of a trademark supervision event and acquire trademark information corresponding to a target notice from a trademark inquiry platform, wherein the trademark information comprises a trademark name; controlling the RPA robot to acquire trademark files corresponding to the trademark information from the trademark inquiry platform; controlling the RPA robot to respectively detect the trademark name and the trademark file so as to generate a detection result; and if the detection result meets the set condition, controlling the RPA robot to write the trademark information into the target file and putting the trademark file into the target folder. Therefore, the latest released trademark announcement of the automatic supervision trademark inquiry platform can be realized, the corresponding information and files of the same trademark can be automatically arranged, the supervision efficiency is improved, and the labor cost is saved.

In order to implement the above embodiments, the present application also proposes a computer program product, which includes a computer program, and when being executed by a processor, the computer program implements the above trademark monitoring method combining RPA and AI.

In various embodiments of the present application, it should be understood that the size of the serial number of each process described above does not mean that the execution sequence is necessarily sequential, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

In the embodiments provided herein, it should be understood that "B corresponding to a" means that B is associated with a from which B can be determined. It should also be understood, however, that determining B from a does not mean determining B from a alone, but may also be determined from a and/or other information.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated units, if implemented as software functional units and sold or used as a stand-alone product, may be stored in a computer accessible memory. Based on such understanding, the technical solution of the present application, which is a part of or contributes to the prior art in essence, or all or part of the technical solution, may be embodied in the form of a software product, stored in a memory, including several requests for causing a computer device (which may be a personal computer, a server, a network device, or the like, and may specifically be a processor in the computer device) to execute part or all of the steps of the above-described method of the embodiments of the present application.

It will be understood by those skilled in the art that all or part of the steps in the methods of the embodiments described above may be implemented by hardware instructions of a program, and the program may be stored in a computer-readable storage medium, where the storage medium includes Read-Only Memory (ROM), Random Access Memory (RAM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), One-time Programmable Read-Only Memory (OTPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Compact Disc Read-Only Memory (CD-ROM), or other Memory, such as a magnetic disk, or a combination thereof, A tape memory, or any other medium readable by a computer that can be used to carry or store data.

The above detailed description is made on a trademark monitoring method, a trademark monitoring device and an electronic device which are disclosed in the embodiments of the present application and are combined with an RPA and an AI, and a specific example is applied in the present application to explain the principle and the implementation of the present application, and the description of the above embodiments is only used to help understanding the method and the core idea of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims

1. A trademark monitoring method combining RPA and AI is characterized by comprising the following steps:

the method comprises the steps that a robot process automation RPA robot is controlled to respond to a detected trademark monitoring event, trademark information corresponding to a target notice is obtained from a trademark inquiry platform, wherein the trademark information comprises a trademark name;

controlling the RPA robot to acquire trademark files corresponding to the trademark information from the trademark inquiry platform;

controlling the RPA robot to respectively detect the trademark name and the trademark file so as to generate a detection result; and

and if the detection result meets the set condition, controlling the RPA robot to write the trademark information into a target file, and putting the trademark file into a target folder.

2. The method of claim 1, wherein said controlling the RPA robot in response to detecting the brand audit event further comprises:

and controlling the RPA robot to log in the trademark inquiry platform.

3. The method of claim 1, further comprising:

and if the target notice is not monitored, controlling the RPA robot to determine that the trademark monitoring event is detected, wherein the target notice is a latest trademark initial examination notice.

4. The method according to claim 1, wherein said controlling the RPA robot to detect the brand name and the brand file, respectively, to generate detection results comprises:

controlling the RPA robot to acquire keywords and an image to be compared;

controlling the RPA robot to extract a trademark image from the trademark file;

controlling the RPA robot to recognize the trademark image based on an Optical Character Recognition (OCR) technology so as to generate a target text;

controlling the RPA robot to match the keywords with the brand name and the target text respectively so as to generate a matching result;

controlling the RPA robot to carry out similarity comparison on the image to be compared and the trademark image according to an image similarity comparison model so as to generate a comparison result, wherein the comparison result comprises a similarity value between the image to be compared and the trademark image;

and controlling the RPA robot to generate the detection result according to the matching result and the comparison result.

5. The method of claim 4, further comprising:

if the keyword is successfully matched with the trademark name, controlling the RPA robot to determine that the detection result meets the set condition;

if the keyword is successfully matched with the target text, controlling the RPA robot to determine that the detection result meets the set condition;

and if the similarity value is larger than a similarity threshold value, controlling the RPA robot to determine that the detection result meets the set condition.

6. The method according to claim 1, wherein after controlling the RPA robot to acquire the trademark file corresponding to the trademark information from the trademark inquiry platform, the method further comprises:

controlling the RPA robot to place the trademark file into a temporary folder;

and if the detection result does not meet the set condition, controlling the RPA robot to delete the trademark file from the temporary folder.

7. A trademark monitoring apparatus combining RPA and AI, comprising:

the first acquisition module is used for controlling the robot process automation RPA robot to respond to the detection of a trademark supervision event and acquire trademark information corresponding to a target notice from a trademark inquiry platform, wherein the trademark information comprises a trademark name;

the second acquisition module is used for controlling the RPA robot to acquire the trademark file corresponding to the trademark information from the trademark inquiry platform;

the detection module is used for controlling the RPA robot to respectively detect the trademark name and the trademark file so as to generate a detection result; and

and the processing module is used for controlling the RPA robot to write the trademark information into a target file and putting the trademark file into a target folder if the detection result meets a set condition.

8. The apparatus of claim 7, further comprising:

and the login module is used for controlling the RPA robot to log in the trademark inquiry platform.

9. The apparatus of claim 7, further comprising:

and the first determining module is used for controlling the RPA robot to determine that the trademark monitoring event is detected if the target notice is not monitored, wherein the target notice is a latest trademark initial examination notice.

10. The apparatus according to claim 7, wherein the detection module is specifically configured to:

controlling the RPA robot to acquire keywords and an image to be compared;

controlling the RPA robot to extract a trademark image from the trademark file;

11. The apparatus of claim 10, further comprising:

a second determination module to:

12. The apparatus of claim 7, further comprising:

the putting-in module is used for controlling the RPA robot to put the trademark file into a temporary folder;

and the deleting module is used for controlling the RPA robot to delete the trademark file from the temporary folder if the detection result does not meet the set condition.

13. An electronic device, comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the trademark surveillance method in combination with RPA and AI of any one of claims 1-6.

14. A computer-readable storage medium on which a computer program is stored, which program, when being executed by a processor, is characterized by carrying out a trademark monitoring method combining RPA and AI according to any one of claims 1 to 6.

15. A computer program product comprising a computer program which, when executed by a processor, implements a brand proctoring method combining RPA and AI according to any one of claims 1-6.