Order data processing method and device, equipment and storage medium

Abstract

The invention provides an order data processing method and device, equipment and a storage medium. Relates to the technical field of data processing. The method comprises the steps of obtaining an order image in response to an order identification trigger operation of a user on a preset operation interface; performing keyword recognition processing on the order image by adopting an optical character recognition technology to obtain a plurality of keyword recognition results; according to the plurality of keyword identification results, determining an order number and order attribute information of at least one order corresponding to the order image; generating an order confirmation interface according to the order number and the order attribute information of the at least one order, and displaying the order confirmation interface; determining a target order number and target order attribute information of at least one order in response to confirmation and / or modification operation of a user on the order confirmation interface; and according to the target order number and the target order attribute information of the at least one order, updating a pre-stored order table.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to an order data processing method, device, equipment and storage medium. Background Art

[0002] Online shopping means searching for product information through the Internet and placing a shopping request through an electronic order form. The manufacturer will then ship the product by mail order or by express delivery. Each purchase by the user will generate an order, and the user's online shopping behavior can be recorded based on the order, and analyzed and managed.

[0003] Currently, there are various Internet shopping websites and Internet shopping application software (Application, APP), and each shopping website and shopping APP is equipped with a separate order management function to manage its own orders separately.

[0004] However, existing technologies are unable to achieve comprehensive processing and analysis of order data, resulting in a poor user experience for Internet shopping. Summary of the invention

[0005] The present application provides an order data processing method, device, equipment and storage medium, which are used to solve the technical problem that the existing technology cannot achieve comprehensive processing and analysis of order data and users have poor experience in Internet shopping.

[0006] In a first aspect, the present application provides an order data processing method, comprising:

[0007] In response to an order recognition trigger operation by a user on a preset operation interface, an order image is acquired;

[0008] Using optical character recognition technology to perform keyword recognition processing on the order image to obtain multiple keyword recognition results;

[0009] Determining, according to the multiple keyword recognition results, an order number and order attribute information of at least one order corresponding to the order image;

[0010] Generating an order confirmation interface according to the order number and order attribute information of the at least one order, and displaying the order confirmation interface;

[0011] In response to a confirmation and / or modification operation of the user on the order confirmation interface, determining a target order number and target order attribute information of the at least one order;

[0012] The pre-stored order table is updated according to the target order number and target order attribute information of the at least one order.

[0013] The present application provides a method for analyzing and processing all online shopping orders of users, which can identify and process orders generated by any shopping website or shopping APP. Specifically, when the user triggers the order recognition operation, the order image is automatically obtained, and the order number and order attribute information of at least one order contained in the order image can be accurately analyzed through keyword recognition and processing of the order image, and an order confirmation interface is generated based on the above information for user confirmation, and automatically updated to the pre-stored order table after confirmation. By adopting the above scheme, the present application breaks down the barriers between different shopping websites or shopping APPs, can analyze and process all online shopping orders of users, realizes comprehensive processing and analysis of order data, facilitates users to understand, record and master order information, facilitates analysis of users' online shopping behavior, and combines interaction with users to increase user experience.

[0014] Optionally, the preset operation interface includes an order identification mark; accordingly, the order image is obtained in response to the user's order identification trigger operation on the preset operation interface, including: in response to the user's first order identification trigger operation on the order identification mark, taking a screenshot of the current display interface to obtain an order image.

[0015] Here, the present application displays an order identification mark on the preset operation interface. When the user performs the first order identification trigger operation for the order identification mark, the current display interface can be automatically captured to obtain the order image on the current display interface. The operation method is simple and convenient, and is suitable for online shopping scenarios of any shopping website and shopping APP, which improves the comprehensiveness and efficiency of order processing.

[0016] Optionally, the preset operation interface includes an order identification mark; accordingly, the order image is obtained in response to the user's order identification trigger operation on the preset operation interface, including: in response to the user's second order identification trigger operation on the order identification mark, starting screen monitoring processing to monitor whether there is any buried point information on the real-time display interface, wherein the buried point information is used to indicate that the real-time display interface is the interface where the order is located; if it is monitored that there is buried point information on the real-time display interface, the real-time display interface is screenshotted to obtain an order image.

[0017] Here, the application supports an automatic monitoring function, which can capture in real time whether the real-time display interface includes an order, and automatically capture the interface including the order. It can realize automatic monitoring and processing of orders without unnecessary user operations, thereby improving the comprehensiveness and efficiency of order image acquisition, further providing a basis for order data processing, improving the efficiency of order data processing, and improving user experience.

[0018] Optionally, before obtaining the order image in response to the user's order identification trigger operation on the preset operation interface, it also includes: displaying the preset operation interface, wherein the preset operation interface includes an order identification mark, and the order processing mark includes a desktop floating window and / or an application ball.

[0019] Among them, this application can display desktop shortcuts such as floating windows and / or application balls for users. Users can take screenshots with one click through floating windows and / or application balls, which is convenient to operate, improves the efficiency of order data processing, and improves user experience.

[0020] Optionally, the preset operation interface includes an image upload mark; accordingly, the obtaining of the order image in response to the user's order recognition trigger operation on the preset operation interface includes: obtaining at least one order image uploaded by the user in response to the user's third order recognition trigger operation on the image upload mark.

[0021] The present application provides an image upload label, and users can upload one or more order images by triggering an operation through a third order identification on the image upload label, thereby improving the flexibility of order image acquisition and supporting batch processing of order images, further improving the accuracy of order data processing.

[0022] Optionally, the optical character recognition technology is used to perform keyword recognition processing on the order image to obtain multiple keyword recognition results, including:

[0023] Acquire multiple recognition keywords input by the user; use the multiple recognition keywords to train an initial optical character recognition classifier to obtain a trained optical character recognition classifier; perform keyword recognition processing on the order image according to the trained optical character recognition classifier to obtain multiple keyword recognition results.

[0024] Among them, this application only allows users to customize the recognition keywords of image recognition. The model trained by recognizing keywords can better meet user needs and further improve the user experience.

[0025] Optionally, after updating the pre-stored order table according to the target order number and target order attribute information of the at least one order, it also includes: obtaining the updated order table; generating an order table display interface according to the updated order table; and displaying the order table display interface.

[0026] Here, the application can display the updated order table and visually present the results of order data processing to the user, thereby improving the user experience.

[0027] Optionally, the order table display interface includes at least one analysis operation identifier, wherein the analysis operation identifier includes a filtering identifier, a sorting identifier and an image model generation identifier; after displaying the order table display interface, it further includes: if the order table display interface includes a filtering identifier, then in response to a user clicking on the filtering identifier, a filtered order table is generated and displayed; if the order table display interface includes a sorting identifier, then in response to a user clicking on the sorting identifier, a sorted order table is generated and displayed; if the order table display interface includes an image model generation identifier, then in response to a user clicking on the filtering identifier, a target image model is generated and displayed.

[0028] Among them, this application provides users with a variety of operating methods, including screening, sorting and image model generation for order tables. Users can control the generation of different order tables or image models according to their own needs, which makes it easier for users to intuitively obtain order-related data, improves the efficiency of order data processing, and improves user experience.

[0029] In a second aspect, the present application provides an order data processing device, comprising:

[0030] An image acquisition module, used to acquire an order image in response to an order recognition trigger operation by a user on a preset operation interface;

[0031] A keyword recognition module, used to perform keyword recognition processing on the order image using optical character recognition technology to obtain multiple keyword recognition results;

[0032] A first determination module, configured to determine an order number and order attribute information of at least one order corresponding to the order image according to the plurality of keyword recognition results;

[0033] A first display module, configured to generate an order confirmation interface according to the order number and order attribute information of the at least one order, and display the order confirmation interface;

[0034] A second determination module, configured to determine a target order number and target order attribute information of the at least one order in response to a confirmation and / or modification operation of the user on the order confirmation interface;

[0035] The updating module is used to update the pre-stored order table according to the target order number and target order attribute information of the at least one order.

[0036] Optionally, the preset operation interface includes an order identification mark; accordingly, the image acquisition module is specifically used to: in response to the user's first order identification trigger operation on the order identification mark, take a screenshot of the current display interface to obtain an order image.

[0037] Optionally, the preset operation interface includes an order identification mark; accordingly, the image acquisition module is specifically used to: in response to a second order identification trigger operation performed by the user on the order identification mark, start screen monitoring processing to monitor whether there is any buried point information on the real-time display interface, wherein the buried point information is used to indicate that the real-time display interface is the interface where the order is located; if it is detected that there is buried point information on the real-time display interface, then take a screenshot of the real-time display interface to obtain an order image.

[0038] Optionally, before the image acquisition module is used to acquire the order image in response to the order recognition triggering operation of the user on the preset operation interface, the above-mentioned device further includes:

[0039] A preset operation interface is displayed, wherein the preset operation interface includes an order identification mark, and the order processing mark includes a desktop floating window and / or an application ball.

[0040] Optionally, the preset operation interface includes an image upload mark; accordingly, the image acquisition module is specifically used to: in response to the user's third order identification trigger operation on the image upload mark, acquire at least one order image uploaded by the user.

[0041] Optionally, the keyword recognition module is specifically used to: obtain multiple recognition keywords input by a user; use the multiple recognition keywords to train an initial optical character recognition classifier to obtain a trained optical character recognition classifier; and perform keyword recognition processing on the order image according to the trained optical character recognition classifier to obtain multiple keyword recognition results.

[0042] Optionally, after the update module is used to update the pre-stored order table according to the target order number and target order attribute information of at least one order, the above-mentioned device also includes a second display module, which is used to: obtain the updated order table; generate an order table display interface according to the updated order table; and display the order table display interface.

[0043] Optionally, the order table display interface includes at least one analysis operation identifier, wherein the analysis operation identifier includes a filtering identifier, a sorting identifier and an image model generation identifier; accordingly, after the second display module is used to display the order table display interface, the above-mentioned device also includes a third display module, which is used to: if the order table display interface includes a filtering identifier, then in response to a user clicking operation on the filtering identifier, generate and display a filtered order table; if the order table display interface includes a sorting identifier, then in response to a user clicking operation on the sorting identifier, generate and display a sorted order table; if the order table display interface includes an image model generation identifier, then in response to a user clicking operation on the filtering identifier, generate and display a target image model.

[0044] In a third aspect, the present application provides an order data processing device, comprising: at least one processor and a memory; the memory stores computer execution instructions; the at least one processor executes the computer execution instructions stored in the memory, so that the at least one processor executes the order data processing method described in the first aspect and various possible designs of the first aspect.

[0045] In a fourth aspect, the present application provides a computer-readable storage medium, in which computer execution instructions are stored. When a processor executes the computer execution instructions, the order data processing method described in the first aspect and various possible designs of the first aspect is implemented.

[0046] In a fifth aspect, the present application provides a computer program product, including a computer program. When the computer program is executed by a processor, it implements the order data processing method described in the first aspect and various possible designs of the first aspect.

[0047] The order data processing method, device, equipment and storage medium provided by the present application automatically obtain an order image when a user triggers an order recognition operation, and can accurately analyze the order number and order attribute information of at least one order contained in the order image by keyword recognition processing of the order image, and generate an order confirmation interface based on the above information for the user to confirm, and automatically update to the pre-stored order table after confirmation. By adopting the above scheme, the present application breaks down the barriers between different shopping websites or shopping apps, can analyze and process all online shopping orders of users, realizes comprehensive processing and analysis of order data, facilitates users to understand, record and master order information, facilitates analysis of users' online shopping behavior, and combines interaction with users to increase user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0049] Figure 1 A schematic diagram of an order data processing system architecture provided in an embodiment of the present application;

[0050] Figure 2 A flowchart of an order data processing method provided in an embodiment of the present application;

[0051] Figure 3 A schematic diagram of a training process of an optical character recognition classifier provided in an embodiment of the present application;

[0052] Figure 4 A schematic diagram of a keyword recognition result provided in an embodiment of the present application;

[0053] Figure 5 A schematic diagram of a determination result of an order number and order attribute information provided in an embodiment of the present application;

[0054] Figure 6 A schematic diagram of an order data processing process provided in an embodiment of the present application;

[0055] Figure 7 A schematic diagram of another order data processing process provided in an embodiment of the present application;

[0056] Figure 8 A schematic diagram of another order data processing process provided in an embodiment of the present application;

[0057] Fig. 9 A flowchart of another order data processing method provided in an embodiment of the present application;

[0058] Fig.10 A schematic diagram of the structure of an order data processing device provided in an embodiment of the present application;

[0059] Fig.11 A schematic diagram of the structure of an order data processing device provided in an embodiment of the present application.

[0060] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0061] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0062] The terms "first", "second", "third", and "fourth", etc. (if any) in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product, or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products, or devices.

[0063] In the technical solution of this application, the collection, storage, use, processing, transmission, provision and disclosure of information such as financial data or user data involved shall comply with the provisions of relevant laws and regulations and shall not violate public order and good morals.

[0064] It should be noted that in the embodiments of the present application, certain software, components, models and other existing solutions in the industry may be mentioned, and they should be regarded as exemplary. Their purpose is only to illustrate the feasibility of implementing the technical solution of the present application, but it does not mean that the applicant has or will necessarily use the solution.

[0065] Image recognition refers to the technology of using computers to process, analyze and understand images to identify targets and objects of various different patterns; online shopping is to retrieve product information through the Internet and send a shopping request through an electronic order form, which is then shipped by the manufacturer through mail order or delivered to the door by a courier. Each Internet shopping website and APP has its own order management function, but each platform is not connected to each other, making it difficult for users to comprehensively manage orders, track logistics information, and conduct shopping analysis. Existing technologies cannot achieve comprehensive processing and analysis of order data, and users have a poor experience in Internet shopping.

[0066] In order to solve the above problems, the embodiments of the present application provide an order data processing method, device, equipment and storage medium, wherein the method adopts image recognition technology, and combines interaction with users to accurately extract order information and automatically realize the recognition and processing of online shopping order data.

[0067] Optionally, the embodiments of the present application support users to upload screenshots of orders on online shopping platforms through image recognition technology, automatically read key information of online shopping orders, record and perform label management, view analysis and other actions on the orders.

[0068] Optionally, the embodiment of the present application manages the user's Internet shopping orders in a unified manner, making it convenient for the user to record and track order information.

[0069] Optionally, the embodiment of the present application adopts optical character recognition (OCR) technology, and the user can customize a variety of image recognition templates to accurately extract keyword information.

[0070] Optional, Figure 1 The following is a schematic diagram of an order data processing system architecture provided in an embodiment of the present application. The order data processing system is a computer device or a terminal device. Figure 1 In the above architecture, the above architecture includes at least one of a data acquisition device 101, a processing device 102 and a display device 103.

[0071] It is understandable that the structure illustrated in the embodiment of the present application does not constitute a specific limitation on the order data processing system architecture. In other feasible implementations of the present application, the above architecture may include more or fewer components than shown in the figure, or combine certain components, or divide certain components, or arrange components differently, which can be determined according to the actual application scenario and is not limited here. Figure 1 The components shown may be implemented in hardware, software, or a combination of software and hardware.

[0072] In a specific implementation process, the data acquisition device 101 may include an input / output interface and may also include a communication interface. The data acquisition device 101 may be connected to the processing device via the input / output interface or the communication interface.

[0073] The processing device 102 can use image recognition technology and combine it with the interaction with the user to accurately extract order information and automatically realize the recognition and processing of online shopping order data.

[0074] The display device 103 may also be a touch display screen or a screen of a terminal device, which is used to receive user instructions while displaying the above content to achieve interaction with the user.

[0075] It should be understood that the above-mentioned processing device can be implemented by a processor reading instructions in a memory and executing the instructions, or it can be implemented by a chip circuit.

[0076] In addition, the network architecture and business scenarios described in the embodiments of the present application are intended to more clearly illustrate the technical solutions of the embodiments of the present application, and do not constitute a limitation on the technical solutions provided in the embodiments of the present application. Ordinary technicians in this field can know that with the evolution of network architecture and the emergence of new business scenarios, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.

[0077] The technical solution of the present application is described in detail below in conjunction with specific embodiments:

[0078] Optionally, Figure 2 A flowchart of an order data processing method provided in an embodiment of the present application. The execution subject of the embodiment of the present application can be Figure 1 The processing device 102 in the embodiment may be a computer device determined according to the actual application scenario. Figure 2 As shown, the method comprises the following steps:

[0079] S201: In response to the order recognition triggering operation of the user on the preset operation interface, an order image is obtained.

[0080] Specifically, the order image may be a screenshot or an image uploaded by a user.

[0081] Optionally, the order recognition trigger operation may be a single click, a long press, a double click, or the like.

[0082] S202: Using optical character recognition technology to perform keyword recognition processing on the order image to obtain multiple keyword recognition results.

[0083] Optionally, optical character recognition technology is used to perform keyword recognition processing on the order image to obtain multiple keyword recognition results, including: obtaining multiple recognition keywords input by the user; using the multiple recognition keywords to train an initial optical character recognition classifier to obtain a trained optical character recognition classifier; based on the trained optical character recognition classifier, performing keyword recognition processing on the order image to obtain multiple keyword recognition results.

[0084] Among them, the embodiment of the present application is only the recognition keyword of user-defined image recognition. The model trained by recognizing keywords can better meet user needs and further improve the user experience.

[0085] In some embodiments, the present application embodiment may provide an order import module based on OCR image recognition, supporting user-defined image recognition key words. Users can set image recognition keywords in the application system and store the keywords in the cloud server to perform machine learning and training by themselves.

[0086] Specifically, Figure 3 A schematic diagram of a training process of an optical character recognition classifier provided in an embodiment of the present application, based on Figure 3 The training process shown in the figure can obtain a trained optical character recognition classifier in the embodiment of the present application. The user can set the keywords for image recognition and perform machine learning and training by himself.

[0087] In some embodiments, the training process of the optical character recognition classifier is: image preprocessing, character segmentation, normalization processing, refinement processing, character feature extraction, and neural network training.

[0088] The following technologies can be used to implement it: Java, jdk1.8, maven, tess4j.

[0089] Tess4J is a Java JNA wrapper for Tesseract OCR API. It enables Java to use Tesseract OCR by calling Tess4J API. Supported formats include TIFF, JPEG, GIF, PNG, BMP, JPEG, PDF. Tess4J is an open source jar package that can be used directly by Java.

[0090] Exemplarily, the user sets the image recognition keywords to be multiple ones of: order number, payment method, logistics company, express number, order time and actual payment.

[0091] S203: Determine, based on the multiple keyword recognition results, the order number and order attribute information of at least one order corresponding to the order image.

[0092] Optionally, based on multiple keyword recognition results, the embodiment of the present application can automatically fill in the keywords to obtain the order number and order attribute information of at least one order corresponding to the order image.

[0093] Optionally, in combination with the above-mentioned identification keywords, the order attribute information may include multiple ones of payment method, logistics company, express delivery number, order time and actual payment.

[0094] Demonstratively, Figure 4 A schematic diagram of a keyword recognition result provided in an embodiment of the present application.

[0095] Demonstratively, Figure 5A schematic diagram of the determination result of an order number and order attribute information provided in an embodiment of the present application.

[0096] S204: Generate an order confirmation interface according to the order number and order attribute information of at least one order, and display the order confirmation interface.

[0097] Optionally, the order confirmation interface may include Figure 5 Schematic diagram of the determination results of the order number and order attribute information shown in .

[0098] S205: In response to the user's confirmation and / or modification operation on the order confirmation interface, determine the target order number and target order attribute information of at least one order.

[0099] Optionally, key text information and pictures set by the user are automatically captured through image recognition. The user can revise and confirm the image recognition results and upload the order information to the cloud server for storage.

[0100] Optionally, the user can copy and fill in other keywords based on the determination results of the above order number and order attribute information: for example, order name: simple ins storage box transparent medicine box; quantity of goods: 2; discount: 0.66, etc. After filling in, the target order number and target order attribute information of at least one order are obtained.

[0101] S206: Update the pre-stored order table according to the target order number and target order attribute information of at least one order.

[0102] The embodiment of the present application provides a method for analyzing and processing all online shopping orders of a user, which can identify and process orders generated by any shopping website or shopping APP. Specifically, when the user triggers the order recognition operation, the order image is automatically obtained, and the order number and order attribute information of at least one order contained in the order image can be accurately analyzed through keyword recognition processing of the order image, and an order confirmation interface is generated based on the above information for the user to confirm, and automatically updated to the pre-stored order table after confirmation. By adopting the above scheme, the embodiment of the present application breaks down the barriers between different shopping websites or shopping APPs, can analyze and process all online shopping orders of the user, realizes comprehensive processing and analysis of order data, facilitates users to understand, record and master order information, facilitates analysis of users' online shopping behavior, and combines interaction with users to increase user experience.

[0103] Optionally, when users perform operations such as order inquiries, order receipts, and returns in other apps, they can use the one-click screenshot function of the floating window to process the image into text through image recognition. If the order number is accurately recognized and entered into the system, the order status of the current order will be automatically updated.

[0104] Optionally, this order update process is automatically processed by the system in the background, which does not occupy the user's screen and is convenient and fast.

[0105] Optionally, there are multiple order numbers in the same screenshot, supporting batch update of order status.

[0106] By adopting the above method, the embodiment of the present application provides an order management system with extremely high user operability and self-recording management, which can realize semi-automatic recording based on image recognition and reduce the manual input items of users.

[0107] Step S201 is explained below. There are three feasible methods for step S201:

[0108] Possible method 1:

[0109] Optionally, the preset operation interface includes an order identification mark; accordingly, in response to the user's order identification trigger operation on the preset operation interface, an order image is obtained, including: in response to the user's first order identification trigger operation on the order identification mark, a screenshot of the current display interface is taken to obtain an order image.

[0110] Here, the embodiment of the present application displays an order identification mark on the preset operation interface. When the user performs the first order identification trigger operation on the order identification mark, the current display interface can be automatically captured to obtain the order image on the current display interface. The operation method is simple and convenient, and is suitable for online shopping scenarios of any shopping website and shopping APP, which improves the comprehensiveness and efficiency of order processing.

[0111] Optionally, in response to the user's order identification trigger operation on the preset operation interface, before obtaining the order image, it also includes: displaying the preset operation interface, wherein the preset operation interface includes an order identification mark, and the order processing mark includes a desktop floating window and / or an application ball.

[0112] Optionally, the first order recognition trigger operation can be any preset operation such as single-click, double-click or long press.

[0113] Among them, the embodiment of the present application can display desktop shortcuts such as floating windows and / or application balls for users. Users can take one-click screenshots through floating windows and / or application balls, which is convenient to operate, improves the efficiency of order data processing, and improves user experience.

[0114] In a possible implementation, the embodiment of the present application provides desktop shortcuts such as desktop floating windows and application balls, and the application supports running in the background of the mobile device. When the user performs order operations such as shopping in other apps, the floating window can be used to take a screenshot with one click, and the screenshots can be automatically identified, so that the user can record the order while shopping.

[0115] Optionally, Figure 6 A schematic diagram of an order data processing process provided in an embodiment of the present application, such as Figure 6 As shown, the embodiment of the present application can process order data by taking a screenshot with one click.

[0116] Possible method 2:

[0117] Optionally, the preset operation interface includes an order identification mark; accordingly, in response to the user's order identification trigger operation on the preset operation interface, an order image is obtained, including: in response to the user's second order identification trigger operation on the order identification mark, screen monitoring processing is started to monitor whether there is any buried point information on the real-time display interface, wherein the buried point information is used to indicate that the real-time display interface is the interface where the order is located; if it is monitored that there is buried point information on the real-time display interface, a screenshot of the real-time display interface is taken to obtain an order image.

[0118] Optionally, the second order recognition trigger operation can be any preset operation such as single-click, double-click or long press.

[0119] Optionally, the order processing logo includes a desktop floating window and / or an application ball.

[0120] Here, the embodiment of the present application supports an automatic monitoring function, which can capture in real time whether the real-time display interface includes an order, and automatically capture the interface including the order. Automatic monitoring and processing of orders can be achieved without unnecessary user operations, thereby improving the comprehensiveness and efficiency of order image acquisition, further providing a basis for order data processing, improving the efficiency of order data processing, and improving user experience.

[0121] In a possible implementation, the embodiment of the present application supports a screen monitor and a fully automatic recording function. The user can turn on the screen monitor, customize screen recognition keywords, automatically read keywords and record orders, which is convenient and fast:

[0122] Specifically, the application, after obtaining the user's authorization, starts the screen monitor and performs real-time monitoring and image-to-text conversion of the information on the user's current screen.

[0123] Specifically, the monitor triggers an event when the user clicks the screen, and supports user-defined monitoring events and texts. For example, "Payment successful", "Transaction successful", "Shipment", "Return", etc. When the screen monitor captures the current screen and automatically matches the text, the order record update function is automatically enabled.

[0124] Specifically, the automatic order update operation performed by the monitor is recorded in a flow record, and the user can revise or delete the flow record.

[0125] Optionally, Figure 7A schematic diagram of another order data processing process provided in an embodiment of the present application, such as Figure 7 As shown, the embodiment of the present application can use a monitor to implement order data processing.

[0126] Possible method three:

[0127] Optionally, the preset operation interface includes an image upload mark; accordingly, in response to the user's order recognition trigger operation on the preset operation interface, the order image is obtained, including: in response to the user's third order recognition trigger operation on the image upload mark, at least one order image uploaded by the user is obtained.

[0128] The embodiment of the present application provides an image upload mark, and the user can upload one or more order images by triggering an operation through a third order identification on the image upload mark, thereby improving the flexibility of order image acquisition and supporting batch processing of order images, thereby further improving the accuracy of order data processing.

[0129] In this embodiment, the user can manually upload the order picture of the online shopping platform. Figure 8 A schematic diagram of another order data processing process provided in an embodiment of the present application is shown as follows: Figure 8 As shown, the embodiment of the present application can use images uploaded by users to process order data.

[0130] Optionally, logistics track tracking and logistics receipt reminder functions are performed based on the logistics order number input by image recognition or uploaded by the user.

[0131] Optionally, the embodiment of the present application can display an updated order list to the user. Accordingly, Fig. 9 A flowchart of another order data processing method provided in an embodiment of the present application is shown as follows: Fig. 9 As shown, the method includes:

[0132] S901: In response to the order recognition triggering operation of the user on the preset operation interface, an order image is obtained.

[0133] S902: Using optical character recognition technology to perform keyword recognition processing on the order image to obtain multiple keyword recognition results.

[0134] S903: Determine, based on the multiple keyword recognition results, the order number and order attribute information of at least one order corresponding to the order image.

[0135] S904: Generate an order confirmation interface based on the order number and order attribute information of at least one order, and display the order confirmation interface.

[0136] S905: In response to the user's confirmation and / or modification operation on the order confirmation interface, determine the target order number and target order attribute information of at least one order.

[0137] S906: Update the pre-stored order table according to the target order number and target order attribute information of at least one order.

[0138] Among them, the implementation method of steps S901-S906 is the same as the implementation method of steps S201-S206, and will not be repeated here.

[0139] S907: Obtain the updated order table.

[0140] S908: Generate an order table display interface based on the updated order table.

[0141] S909: Display the order table display interface.

[0142] Here, the embodiment of the present application can display the updated order table and visually present the results of order data processing to the user, thereby improving the user experience.

[0143] Optionally, the order table display interface includes at least one analysis operation identifier, wherein the analysis operation identifier includes a filtering identifier, a sorting identifier and an image model generation identifier; after displaying the order table display interface, it also includes: if the order table display interface includes a filtering identifier, then in response to a user clicking on the filtering identifier, a filtered order table is generated and displayed; if the order table display interface includes a sorting identifier, then in response to a user clicking on the sorting identifier, a sorted order table is generated and displayed; if the order table display interface includes an image model generation identifier, then in response to a user clicking on the filtering identifier, a target image model is generated and displayed.

[0144] Among them, the embodiments of the present application provide users with a variety of operating methods, including screening, sorting and image model generation for order tables. Users can control the generation of different order tables or image models according to their own needs, which is convenient for users to intuitively obtain order-related data, improves the efficiency of order data processing, and improves user experience.

[0145] Optionally, the embodiment of the present application configures a flexible order management function:

[0146] Specifically, the system establishes an independent order table for a unique user, and updates the structural design of the user order table in the database according to the user-defined order keywords.

[0147] Specifically, users can customize the display keywords, sorting, filtering and other functions of the order, and set single or multiple tags for the order, giving users higher power.

[0148] Specifically, the application provides the function of filtering and batch modifying order information to facilitate user management.

[0149] Optionally, the embodiment of the present application is configured with a logistics tracking function, which performs logistics track tracking and logistics receipt reminder functions according to the logistics order number input by image recognition or uploaded by the user.

[0150] Optionally, the embodiment of the present application configures an order view analysis function, provides a flexible view analysis function, users can customize order view analysis fields, and provide bar charts, bar charts, pie charts and other image models for customers to choose.

[0151] Fig.10 A schematic diagram of the structure of an order data processing device provided in an embodiment of the present application is shown in FIG. Fig.10 As shown, the device of the embodiment of the present application includes: an image acquisition module 1001, a keyword recognition module 1002, a first determination module 1003, a first display module 1004, a second determination module 1005 and an update module 1006. The order data processing device here can be the processing device 102 itself in the above-mentioned order data processing system, or a chip or integrated circuit that realizes the function of the processing device 102. It should be noted here that the division of the image acquisition module 1001, the keyword recognition module 1002, the first determination module 1003, the first display module 1004, the second determination module 1005 and the update module 1006 is only a division of logical functions, and the two can be physically integrated or independent.

[0152] The image acquisition module is used to acquire the order image in response to the order recognition trigger operation of the user on the preset operation interface;

[0153] A keyword recognition module, used to perform keyword recognition processing on the order image using optical character recognition technology to obtain multiple keyword recognition results;

[0154] A first determination module, configured to determine an order number and order attribute information of at least one order corresponding to the order image according to the multiple keyword recognition results;

[0155] A first display module, used to generate an order confirmation interface according to the order number and order attribute information of at least one order, and display the order confirmation interface;

[0156] A second determination module, configured to determine a target order number and target order attribute information of at least one order in response to a confirmation and / or modification operation of a user on an order confirmation interface;

[0157] The updating module is used to update the pre-stored order table according to the target order number and target order attribute information of at least one order.

[0158] Optionally, the preset operation interface includes an order identification mark; accordingly, the image acquisition module is specifically used to: in response to the user's first order identification trigger operation on the order identification mark, take a screenshot of the current display interface to obtain an order image.

[0159] Optionally, the preset operation interface includes an order identification mark; accordingly, the image acquisition module is specifically used to: respond to the user's second order identification trigger operation on the order identification mark, start screen monitoring processing to monitor whether there is any buried point information on the real-time display interface, wherein the buried point information is used to indicate that the real-time display interface is the interface where the order is located; if it is monitored that there is buried point information on the real-time display interface, the real-time display interface is screenshoted to obtain an order image.

[0160] Optionally, before the image acquisition module is used to acquire the order image in response to the order recognition triggering operation of the user on the preset operation interface, the above-mentioned device further includes:

[0161] The preset operation interface is displayed, wherein the preset operation interface includes an order identification mark, and the order processing mark includes a desktop floating window and / or an application ball.

[0162] Optionally, the preset operation interface includes an image upload mark; accordingly, the image acquisition module is specifically used to: in response to the user's third order identification trigger operation on the image upload mark, acquire at least one order image uploaded by the user.

[0163] Optionally, the keyword recognition module is specifically used to: obtain multiple recognition keywords input by the user; use the multiple recognition keywords to train an initial optical character recognition classifier to obtain a trained optical character recognition classifier; and perform keyword recognition processing on the order image according to the trained optical character recognition classifier to obtain multiple keyword recognition results.

[0164] Optionally, after the update module is used to update the pre-stored order table according to the target order number and target order attribute information of at least one order, the above-mentioned device also includes a second display module, which is used to: obtain the updated order table; generate an order table display interface according to the updated order table; and display the order table display interface.

[0165] Optionally, the order table display interface includes at least one analysis operation identifier, wherein the analysis operation identifier includes a filtering identifier, a sorting identifier and an image model generation identifier; accordingly, after the second display module is used to display the order table display interface, the above-mentioned device also includes a third display module, which is used to: if the order table display interface includes a filtering identifier, then in response to a user clicking on the filtering identifier, generate and display a filtered order table; if the order table display interface includes a sorting identifier, then in response to a user clicking on the sorting identifier, generate and display a sorted order table; if the order table display interface includes an image model generation identifier, then in response to a user clicking on the filtering identifier, generate and display a target image model.

[0166] refer to Fig.11 , which shows a schematic diagram of the structure of an order data processing device suitable for implementing the embodiment of the present disclosure, and the order data processing device can be a terminal device or a server. The terminal device can include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, personal digital assistants (PDAs), tablet computers (Portable Android Devices, PADs), portable multimedia players (PMPs), vehicle terminals (such as vehicle navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Fig.11 The order data processing device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0167] like Fig.11 As shown, the order data processing device may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 1101, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1102 or a program loaded from a storage device 1108 to a random access memory (RAM) 1103. Various programs and data required for the operation of the order data processing device are also stored in the RAM 1103. The processing device 1101, the ROM 1102, and the RAM 1103 are connected to each other via a bus 1104. An input / output (I / O) interface 1105 is also connected to the bus 1104.

[0168] Typically, the following devices may be connected to the I / O interface 1105: input devices 1106 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; output devices 1107 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 1108 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 1109. The communication devices 1109 may allow the order data processing device to communicate with other devices wirelessly or by wire to exchange data. Although Fig.11 The order data processing device having various devices is shown, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead.

[0169] In particular, according to an embodiment of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device 1109, or installed from a storage device 1108, or installed from a ROM 1102. When the computer program is executed by the processing device 1101, the above-mentioned functions defined in the method of the embodiment of the present disclosure are executed.

[0170] It should be noted that the computer-readable medium disclosed above may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, device or device. In the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, in which a computer-readable program code is carried. This propagated data signal may take a variety of forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. The computer readable signal medium may also be any computer readable medium other than a computer readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0171] The above-mentioned computer-readable medium may be included in the above-mentioned order data processing device; or it may exist independently without being assembled into the order data processing device.

[0172] The computer-readable medium carries one or more programs. When the one or more programs are executed by the order data processing device, the order data processing device executes the method shown in the above embodiment.

[0173] Computer program code for performing the operations of the present disclosure may be written in one or more programming languages ​​or a combination thereof, including oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer via any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0174] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0175] The units involved in the embodiments described in the present disclosure may be implemented by software or hardware. The name of a unit does not limit the unit itself in some cases. For example, the first acquisition unit may also be described as a "unit for acquiring at least two Internet Protocol addresses".

[0176] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0177] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0178] The order data processing device of the embodiment of the present application can be used to execute the technical solutions in the above-mentioned method embodiments of the present application. Its implementation principles and technical effects are similar and will not be repeated here.

[0179] An embodiment of the present application also provides a computer-readable storage medium, which stores computer execution instructions. When the computer execution instructions are executed by a processor, they are used to implement any of the above-mentioned order data processing methods.

[0180] An embodiment of the present application also provides a computer program product, including a computer program, which, when executed by a processor, is used to implement any of the above-mentioned order data processing methods.

[0181] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of modules is only a logical function division, and there may be other division methods in actual implementation, such as multiple modules can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or modules, which can be electrical, mechanical or other forms.

[0182] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to implement the solution of this embodiment.

[0183] In addition, each functional module in each embodiment of the present application can be integrated into one processing unit, or each module can exist physically separately, or two or more modules can be integrated into one unit. The above-mentioned module-composed unit can be implemented in the form of hardware or in the form of hardware plus software functional units.

[0184] The above-mentioned integrated module implemented in the form of a software function module can be stored in a computer-readable storage medium. The above-mentioned software function module is stored in a storage medium, including a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor to perform some steps of the methods of various embodiments of the present application.

[0185] It should be understood that the processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), etc. A general-purpose processor may be a microprocessor or any conventional processor. The steps of the method disclosed in the invention may be directly implemented as being executed by a hardware processor, or may be implemented by a combination of hardware and software modules in the processor.

[0186] The memory may include a high-speed RAM memory, and may also include a non-volatile storage NVM, such as at least one disk memory, and may also be a USB flash drive, a mobile hard disk, a read-only memory, a magnetic disk or an optical disk, etc.

[0187] The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, the bus in the drawings of the present application is not limited to only one bus or one type of bus.

[0188] The above storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. The storage medium can be any available medium that can be accessed by a general or special purpose computer.

[0189] An exemplary storage medium is coupled to a processor so that the processor can read information from the storage medium and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and the storage medium can be located in an application specific integrated circuit (ASIC). Of course, the processor and the storage medium can also exist as discrete components in an electronic control unit or a main control device.

[0190] Those skilled in the art can understand that all or part of the steps of implementing the above-mentioned method embodiments can be completed by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, the steps of the above-mentioned method embodiments are executed; and the aforementioned storage medium includes: ROM, RAM, disk or optical disk and other media that can store program codes.

[0191] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for processing order data, characterized in that: include: In response to an order recognition trigger operation by a user on a preset operation interface, an order image is acquired; Using optical character recognition technology to perform keyword recognition processing on the order image to obtain multiple keyword recognition results; Determining, according to the multiple keyword recognition results, an order number and order attribute information of at least one order corresponding to the order image; Generating an order confirmation interface according to the order number and order attribute information of the at least one order, and displaying the order confirmation interface; In response to a confirmation and / or modification operation of the user on the order confirmation interface, determining a target order number and target order attribute information of the at least one order; The pre-stored order table is updated according to the target order number and target order attribute information of the at least one order.

2. The method according to claim 1, characterized in that The preset operation interface includes an order identification mark; Accordingly, in response to the order recognition triggering operation of the user on the preset operation interface, obtaining the order image includes: In response to the user's first order identification triggering operation on the order identification mark, a screenshot of the current display interface is taken to obtain an order image.

3. The method according to claim 1, characterized in that The preset operation interface includes an order identification mark; Accordingly, in response to the order recognition triggering operation of the user on the preset operation interface, obtaining the order image includes: In response to a second order identification trigger operation performed by the user on the order identification mark, a screen monitoring process is started to monitor whether there is embedded point information on the real-time display interface, wherein the embedded point information is used to indicate that the real-time display interface is an interface where an order is located; If the real-time display interface is monitored to have buried point information, a screenshot of the real-time display interface is taken to obtain an order image.

4. The method according to claim 2, characterized in that: Before acquiring the order image in response to the order recognition triggering operation of the user on the preset operation interface, the method further includes: A preset operation interface is displayed, wherein the preset operation interface includes an order identification mark, and the order processing mark includes a desktop floating window and / or an application ball.

5. The method according to claim 1, characterized in that The preset operation interface includes an image upload mark; Accordingly, in response to the order recognition triggering operation of the user on the preset operation interface, obtaining the order image includes: In response to a third order identification triggering operation performed by the user on the image upload identifier, at least one order image uploaded by the user is obtained.

6. The method according to any one of claims 1 to 5, characterized in that: The optical character recognition technology is used to perform keyword recognition processing on the order image to obtain multiple keyword recognition results, including: Obtain multiple identification keywords input by the user; Using the multiple recognition keywords, training an initial optical character recognition classifier to obtain a trained optical character recognition classifier; According to the trained optical character recognition classifier, keyword recognition processing is performed on the order image to obtain multiple keyword recognition results.

7. The method according to any one of claims 1 to 5, characterized in that: After updating the pre-stored order table according to the target order number and target order attribute information of the at least one order, the method further includes: Get the updated order table; Generate an order table display interface according to the updated order table; The order table display interface is displayed.

8. The method according to claim 7, characterized in that The order table display interface includes at least one analysis operation identifier, wherein the analysis operation identifier includes a screening identifier, a sorting identifier, and an image model generation identifier; Accordingly, after displaying the order table display interface, the method further includes: If the order table display interface includes a filtering mark, in response to a user clicking on the filtering mark, generating and displaying a filtered order table; If the order table display interface includes a sorting mark, in response to a user clicking operation on the sorting mark, a sorted order table is generated and displayed; If the order table display interface includes an image model generation mark, then in response to a user clicking operation on the screening mark, a target image model is generated and displayed.

9. An order data processing device, characterized in that: include: An image acquisition module, used to acquire an order image in response to an order recognition trigger operation by a user on a preset operation interface; A keyword recognition module, used to perform keyword recognition processing on the order image using optical character recognition technology to obtain multiple keyword recognition results; A first determination module, configured to determine an order number and order attribute information of at least one order corresponding to the order image according to the plurality of keyword recognition results; A first display module, configured to generate an order confirmation interface according to the order number and order attribute information of the at least one order, and display the order confirmation interface; A second determination module, configured to determine a target order number and target order attribute information of the at least one order in response to a confirmation and / or modification operation of the user on the order confirmation interface; The updating module is used to update the pre-stored order table according to the target order number and target order attribute information of the at least one order.

10. An order data processing device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the order data processing method according to any one of claims 1 to 8.

11. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the order data processing method according to any one of claims 1 to 8.

12. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the order data processing method described in any one of claims 1 to 8 is implemented.

Images