Attribute data processing method and electronic equipment

Abstract

The invention discloses an attribute data processing method and electronic equipment. The method comprises the steps that a merchant side requests a first server side to display corresponding attribute data for a target object; the first server side requests a second server side to execute a detection task for a sampling inspection object representing the target object so as to detect the attribute of the target object by executing the detection task; the second server side executes the detection task, generates attribute detection data of the sampling inspection object and feeds back the attribute detection data to the first server side; the client displays the target object and an attribute data entry associated with the attribute detection data, the attribute data entry is triggered to display the attribute detection data in response to the attribute data entry, and the attribute detection data is attribute data corresponding to the target object. By adopting the method, the problem of how to carry out credible attribute authentication and expression on dishes of commercial tenants is solved.

Description

Technical Field

[0001] This application relates to the field of computer technology, specifically to methods, apparatuses, electronic devices, and storage media for processing various attribute data. Background Technology

[0002] As people become more health-conscious, healthy eating is gaining increasing attention. More consumers are prioritizing healthy eating, seeking fresh and natural ingredients, reducing their intake of sugar and oil, and increasing their consumption of vegetables and fruits.

[0003] In practical applications, the attributes of pre-packaged foods are often labeled to display their attribute information. However, platforms that provide catering transactions to users lack attribute certification solutions for non-standard products such as dishes processed and prepared by catering merchants.

[0004] Therefore, it is crucial to establish a trustworthy perception among users regarding the healthy and reliable nature of food ordering by verifying and representing the credible attributes of merchants' dishes.

[0005] The information disclosed in the background section is only intended to enhance the understanding of the background of this application, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0006] The attribute data processing method provided in this application solves the problem of how to perform reliable attribute authentication and expression for merchants' dishes.

[0007] This application provides an attribute data processing method, comprising: a merchant client requesting a first server to display corresponding attribute data for a target object; the first server requesting a second server to execute a detection task for a sampled object representing the target object, so as to detect the attributes of the target object by executing the detection task; the second server being a server used by a third-party detection entity with detection qualifications; the second server executing the detection task and generating attribute detection data for the sampled object, and feeding back the attribute detection data to the first server; the client displaying the target object and the attribute data entry associated with the attribute detection data, and displaying the attribute detection data in response to the attribute data entry being triggered, wherein the attribute detection data is the attribute data corresponding to the target object.

[0008] Optionally, the target object is the finished dish produced by a merchant in the production field; the sampling object is the third-party testing entity or the entity providing the transaction environment using the first server, which places an order with the merchant for the target object through the transaction environment provided by the first server, thereby obtaining the finished dish to be tested; the method further includes: the first server or the second server, obtaining the validity period of the attribute data display task corresponding to the target object, determining the attribute data sampling plan within the validity period, and placing an order with the merchant for the target object according to the attribute data sampling plan, so as to continuously sample the attribute data of the target object.

[0009] Optionally, the second server executes the detection task and generates attribute detection data for the sampled object, including: the second server uses food detection equipment to collect attribute index data for the sampled object from multiple dimensions such as ingredient usage, ingredient freshness, ingredient component attribute value, and ingredient supply chain information, as the first attribute data of the sampled object; the second server determines the production process data of the sampled object based on the production process information and / or auxiliary material information of the target object, as the second attribute data of the sampled object; the second server forms the original detection result of the sampled object based on the first attribute data and the second attribute data; the second server obtains attribute parsing data obtained by parsing the original detection result based on a preset attribute evaluation standard, and uses the original detection result and attribute parsing data as the attribute detection data of the sampled object.

[0010] Optionally, the attribute parsing data includes attribute rating data; the attribute rating data is determined based on the ingredient quality score, ingredient component attribute value score included in the first attribute data, and the production process score included in the second attribute data; and / or, the attribute parsing data includes the parsing results of natural language expressions under one or more dimensions of attribute quality, category attribute characteristics, and food safety; and / or, the attribute parsing data includes attribute certification results, the attribute certification results indicating whether the sampled object is an attribute-certified object that has passed attribute certification, the attribute-certified object having traceable ingredients, natural auxiliary materials, freshness grading, attribute labeling information, and healthy production process.

[0011] Optionally, it further includes: the first server generating the detection task based on the target category to which the target object belongs, and sending the task information of the detection task to the second server; or, the first server providing the target category to which the sampled object belongs to the second server, and the second server generating the detection task based on the target category; wherein, the detection task includes the detection items determined based on the feature data of the target category.

[0012] Optionally, it also includes: the second server determining whether the attribute detection data conforms to the standard range included in the preset attribute evaluation standard, thereby obtaining the attribute authentication result of the sampled object; wherein, the sampled object conforming to the standard range is the attribute authentication object that has passed the attribute authentication; the client displaying the target object and attribute data entry includes: the first server setting an attribute authentication identifier for the attribute authentication object that has passed the attribute authentication for the sampled object; the client displaying the attribute data entry for the object with the attribute authentication identifier, and displaying attribute authentication identifier related information in the attribute data entry.

[0013] Optionally, the client displays the target object and the attribute data entry associated with the attribute detection data. In response to the attribute data entry being triggered, the attribute detection data is displayed, including: the client displays a merchant store page, displays an attribute authentication navigation label on the merchant store page, and displays the merchant's target object with attribute authentication identification when the attribute authentication navigation label is selected; and / or, the client displays an attribute authentication channel page, which contains attribute authentication objects with attribute authentication identification, including the target object; and / or, the client displays a search results page for attribute authentication-related search terms, which contains attribute authentication objects with attribute authentication identification, including the target object; wherein, when a page containing the target object displays the target object, the corresponding attribute data entry is displayed, or the corresponding attribute data entry is displayed on the target object's object information page; personalized attribute tags for the target object are displayed in association with the attribute data entry, and the personalized attribute tag text is obtained based on the attribute detection data of the sampled object.

[0014] Optionally, in response to the attribute data entry being triggered, the display of the attribute detection data includes: in response to the attribute data entry being triggered, calling the attribute authentication information page of the target object; displaying at least one of the following information on the attribute authentication information page: a third-party testing entity information entry and entry text associated with the third-party testing entity information page; an original testing result viewing entry associated with the original testing result of the sampled object corresponding to the target object, and the testing number and testing time corresponding to the original testing result; attribute parsing data of the sampled object corresponding to the target object; wherein, the attribute detection data includes the original testing result and attribute parsing data, and the attribute parsing data includes at least one of the following data of the sampled object: attribute rating and attribute tag, attribute annotation information and attribute recommendation information, ingredient rating and ingredient data, and food safety information.

[0015] Optionally, when the third-party testing entity information entry is triggered, the detailed information of the third-party testing entity is displayed; wherein, the merchant attribute authentication entry associated with the attribute authentication opportunity page is displayed on the detailed information display page; after the merchant attribute authentication entry is triggered, the attribute authentication opportunity data corresponding to the merchant is collected so as to start the merchant's attribute authentication process through the attribute authentication opportunity data.

[0016] This application embodiment also provides an attribute data processing method, including: displaying an attribute authentication object with an attribute authentication identifier, and an attribute data entry associated with the attribute detection data of the attribute authentication object; the attribute detection data is detection data generated by a third-party testing entity with testing qualifications performing a testing task on a sampled object representing the attribute authentication object; and displaying the attribute detection data of the target object in response to the attribute data entry of the target object being triggered.

[0017] Optionally, the detection task is generated based on the category to which the attribute authentication object belongs; the attribute detection data includes the original detection results of the abstract object and the corresponding attribute parsing data; wherein, the attribute parsing data is formed based on the original detection results of the sampled object and the preset attribute evaluation standard corresponding to the category to which the attribute authentication object belongs.

[0018] Optionally, the step of displaying the attribute-certified object with the attribute certification identifier and the attribute data entry associated with the attribute detection data of the attribute-certified object includes: displaying a merchant store page, displaying an attribute certification navigation label on the merchant store page, and displaying the merchant's attribute certification object when the attribute certification navigation label is selected; and / or, displaying an attribute certification channel page, the attribute certification channel page containing the attribute certification object; and / or, displaying a search results page for attribute certification-related search terms, the search results page containing the attribute certification object; wherein, when a page containing the attribute certification object displays the attribute certification object, the corresponding attribute data entry is displayed, or the corresponding attribute data entry is displayed in the object information page of the attribute certification object; and personalized attribute tags of the attribute certification object are displayed in association with the attribute data entry, the personalized attribute tag text being obtained based on the attribute detection data of the attribute certification object.

[0019] Optionally, in response to the triggering of the attribute data entry of the target object in the attribute authentication object, the attribute detection data of the target object is displayed, including: in response to the triggering of the attribute data entry, the attribute authentication information page of the target object is invoked; the attribute authentication information page displays at least one of the following information: the third-party testing entity information entry and entry text associated with the third-party testing entity information page; the original testing result viewing entry associated with the original testing result of the sampled object corresponding to the target object, and the testing number and testing time corresponding to the original testing result; the attribute parsing data of the sampled object corresponding to the target object, wherein the attribute parsing data includes at least one of the following data of the sampled object: attribute rating and attribute tag, attribute annotation information and attribute recommendation information, ingredient rating and ingredient data, and food safety information.

[0020] Optionally, when the third-party testing entity information entry is triggered, the detailed information of the third-party testing entity is displayed; wherein, the merchant attribute authentication entry associated with the attribute authentication opportunity page is displayed on the detailed information display page; after the merchant attribute authentication entry is triggered, the attribute authentication opportunity data corresponding to the merchant is collected so as to start the merchant's attribute authentication process through the attribute authentication opportunity data.

[0021] This application embodiment also provides an attribute data processing method, including: receiving a request from a merchant to display corresponding attribute data for a target object, wherein the merchant is a merchant that has signed an attribute authentication project; sending an attribute detection request to a second server requesting a qualified third-party testing entity to perform a testing task on a sampled object representing the target object, so as to detect the attributes of the target object by executing the testing task; the second server is a server used by the qualified third-party testing entity; receiving attribute detection data of the sampled object provided by the second server, wherein the attribute detection data is generated by the second server executing the testing task; adding an attribute authentication identifier to the target object according to the attribute detection data, and displaying the target object as an attribute authentication object with the attribute authentication identifier on the client.

[0022] Optionally, the detection task is generated based on the category to which the target object belongs; the attribute detection data includes the original detection results of the abstract object and the corresponding attribute parsing data; wherein, the attribute parsing data is formed based on the original detection results of the sampled object and the preset attribute evaluation standards corresponding to the category to which the target object belongs.

[0023] This application embodiment also provides an attribute data processing method, including: receiving an attribute detection request sent by a first server, requesting a qualified third-party testing entity to perform a testing task on a sampled object representing a target object, so as to detect the attributes of the target object by executing the testing task; executing the testing task and generating attribute detection data of the sampled object; feeding back the attribute detection data to the first server, wherein the first server adds an attribute authentication identifier to the target object based on the attribute detection data, so that the target object is displayed on the client as an attribute authentication object with an attribute authentication identifier.

[0024] Optionally, the detection task is generated based on the category to which the target object belongs; the attribute detection data includes the original detection results of the abstract object and the corresponding attribute parsing data; wherein, the attribute parsing data is formed based on the original detection results of the sampled object and the preset attribute evaluation standards corresponding to the category to which the target object belongs.

[0025] This application embodiment also provides an attribute data processing method, including: after a merchant requests attribute data for displaying attribute data for a target object from a first platform, a sampled object representing the target object is provided to a second platform; the second platform is a third-party testing platform with testing qualifications; after obtaining the sampled object, the second platform performs a testing task on the sampled object to generate attribute testing data for the sampled object; the first platform obtains the attribute testing data, generates attribute authentication information for the target object based on the attribute testing data, and provides the attribute authentication information to the client so that the client can display the attribute authentication information of the target object.

[0026] This application also provides an electronic device, including: a memory and a processor; the memory is used to store a computer program, which, when run by the processor, executes the method provided in this application.

[0027] This application also provides a computer storage medium storing computer execution instructions, which, when executed by a processor, are used to implement the method provided in this application.

[0028] Compared with the prior art, the advantages of this application are as follows:

[0029] This application provides an attribute data processing method, apparatus, electronic device, and storage medium. The method involves a merchant client requesting a first server to display corresponding attribute data for a target object; the first server requesting a second server to execute a detection task on a sampled object representing the target object, thereby detecting the attributes of the target object through the execution of the detection task; the second server is a server used by a qualified third-party testing entity; the second server executes the detection task and generates attribute detection data for the sampled object, and feeds the attribute detection data back to the first server; the client displays the target object and the attribute data entry associated with the attribute detection data, and displays the attribute detection data in response to the attribute data entry being triggered. The attribute detection data is the attribute data corresponding to the target object. By introducing the attribute detection capabilities of a professional and authoritative third-party testing entity to perform attribute detection on the sampled object, consumer trust is established; and the attribute detection data is displayed on the client connected to the first server, thus providing merchants with a complete solution from attribute detection to client-side attribute authentication. Deploying this method enables platforms providing catering transactions to establish a user mindset of healthy and reliable ordering, increasing platform transaction volume while allowing consumers to eat healthier.

[0030] In a better approach, multi-dimensional and targeted attribute detection is performed based on the product category of the object, and the data is analyzed according to preset attribute evaluation standards. The analyzed attribute data is then displayed in natural language that consumers can understand, making the attribute information of non-standard products in the "blind box" state transparent and easy for users to understand, thus helping users reduce decision-making costs. Attached Figure Description

[0031] Figure 1 This is a schematic diagram of a system applying the attribute data processing method described in this application;

[0032] Figure 2 This is a flowchart of an attribute data processing method provided in the first embodiment of this application;

[0033] Figure 3 This is a schematic diagram of a merchant request attribute authentication registration link provided in the first embodiment of this application;

[0034] Figure 4 This is a schematic diagram of an attribute data display link provided in the first embodiment of this application;

[0035] Figure 5 This is a flowchart of an attribute data processing method provided in the second embodiment of this application;

[0036] Figure 6 This is a flowchart of an attribute data processing method provided in the third embodiment of this application;

[0037] Figure 7 This is a flowchart of an attribute data processing method provided in the fourth embodiment of this application;

[0038] Figure 8 This is a schematic diagram of an attribute data processing device provided in the fifth embodiment of this application;

[0039] Figure 9 This is a schematic diagram of an attribute data processing device provided in the sixth embodiment of this application;

[0040] Figure 10 This is a schematic diagram of an attribute data processing device provided in the seventh embodiment of this application;

[0041] Figure 11 This is a flowchart of another attribute data processing method provided in the sixth embodiment of this application;

[0042] Figure 12 This is a schematic diagram of the electronic device provided in this application. Detailed Implementation

[0043] Many specific details are set forth in the following description to provide a full understanding of this application. However, this application can be implemented in many other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of this application; therefore, this application is not limited to the specific embodiments disclosed below.

[0044] This application provides various attribute data processing methods, apparatuses, electronic devices, and storage media. These will be described one by one in the following embodiments.

[0045] To facilitate understanding, the application scenarios and related concepts of the attribute data processing method are first presented. This scenario is merely one embodiment of a scenario in which the method is deployed, and its purpose in providing this scenario embodiment is to facilitate understanding of the attribute data processing provided in this application, and is not intended to limit the method.

[0046] In this embodiment, the merchant / brand proactively requests attribute authentication for the target object from the platform. Attribute authentication is based on reliable attribute detection, allowing the merchant / brand to actively receive quality monitoring. This enhances the merchant / brand's quality image, increases user traffic, and boosts sales of the target object. Simultaneously, the platform can build a sense of confidence among users, increasing user stickiness. The platform is a first platform capable of displaying goods / services. Attribute detection data is provided by a qualified third-party testing entity, independent of both the first platform and the merchant, to ensure the reliability of attribute detection on the sampled items of the target object to be authenticated. The third-party testing entity can rely on a second platform to perform attribute detection-related operations. An example of a target object is a dish. After the merchant / brand requests nutritional certification from the first platform, the sampled dishes are provided to the second platform for nutritional testing. The nutritional testing data is then provided to the first platform to generate nutritional certification information for display to users.

[0047] Please refer to Figure 1The system includes: Merchant Client 101 (the client corresponding to the merchant), First Server 102 (the server corresponding to the first platform), Second Server 103 (the server corresponding to the second platform for the third-party testing entity), and Client 104 (the client corresponding to the consumer). The Merchant Client refers to the computing device used by the merchant or the application installed on that device. The Client refers to the computing device used by the consumer or the application running on that device. The computing device can be a mobile phone, wearable smart device, tablet, laptop, computer, etc. The First Server is the server equipment or application deployed on the first platform that provides users with the display / transaction of catering goods / services. The Second Server is the server equipment or application deployed on the third-party testing entity. The Second Server can be understood as the server providing testing services; it represents a second platform used by a third-party testing entity independent of the First Platform. In practical applications, the Second Server can be a front-end page for attribute testing or a back-end server for attribute testing. In the diagram, the Merchant Client initiates a registration process with the First Server. After registering and signing up for attribute authentication, the Merchant Client submits the target objects requiring attribute authentication to the First Server. The first server sends a sample of the target object to a third-party testing entity for inspection. The inspection method can involve simulating a consumer placing an order with a merchant through the platform for the target object requiring attribute authentication, and the received product serving as the sample. The second server uses attribute detection equipment to perform attribute detection on the sampled object and returns attribute detection data to the first server. This data includes the original detection report (i.e., the original detection result) and attribute parsing data expressed in natural language that consumers can understand. When the attribute detection data indicates that attribute authentication has passed, the target object corresponding to the sampled object is set as an attribute-authenticated object, and the attribute authentication identifier is displayed on the client. Furthermore, when a consumer triggers the attribute data entry point for the attribute-authenticated object on the client, the client displays the attribute detection data, thus enabling attribute authentication information to be transmitted to the consumer through the client. This is particularly relevant for food items.

[0048] Attribute certification: This refers to a third-party testing entity conducting attribute testing on randomly selected objects of a target object to be certified. If the test results meet the basic testing standards, the attribute quality of the target object is determined to have passed the certification of the third-party testing entity.

[0049] Attribute rating: refers to classifying the quality of a dish based on its attribute testing data.

[0050] It should be noted that the information disclosed above is only for the purpose of helping to understand this application and does not constitute prior art known to those skilled in the art.

[0051] The following combination Figures 2 to 4The attribute data processing method provided in the first embodiment of this application will be described. Figure 2 The attribute data processing methods shown include:

[0052] Step S201: The merchant requests the first server to display the corresponding attribute data for the target object;

[0053] In step S202, the first server requests the second server to execute a detection task on the sampled objects representing the target object, so as to detect the attributes of the target object by executing the detection task; the second server is a server used by a third-party detection entity with detection qualifications.

[0054] Step S203: The second server executes the detection task and generates attribute detection data of the sampled object, and feeds back the attribute detection data to the first server;

[0055] Step S204: The client displays the target object and the attribute data entry associated with the attribute detection data. In response to the attribute data entry being triggered, the attribute detection data is displayed. The attribute detection data is the attribute data corresponding to the target object.

[0056] The method involves multiple terminals, including: a merchant terminal used by the merchant, a first server terminal corresponding to the platform, a second server terminal corresponding to the third-party testing entity, and a client terminal accessing the platform. In this method, a qualified third-party testing entity conducts attribute testing on randomly selected dishes submitted by merchants for attribute certification. Based on the testing results, the quality of the dish's attributes is certified and rated. The first server terminal of the platform obtains the attribute testing data corresponding to the testing results and displays it to consumers through the client terminal to help them make informed decisions.

[0057] As described in step S201, the merchant requests the first server to display the corresponding attribute data for the target object. This step involves the merchant submitting the target object to the platform.

[0058] In practical applications, the platform sets up attribute authentication programs. After merchants register and sign up for these programs, they submit their target objects requiring attribute authentication to the platform. The platform then generates testing tasks for these target objects or requests third-party testing entities to generate such tasks. Merchants include businesses and / or brands that create the target objects. Furthermore, the testing tasks are generated based on the category of the target object, allowing for different testing focuses for different categories. For example, beverages require testing for excessive bacterial counts, while light food products require testing for fat content. Alternatively, the platform can display detailed attribute testing items to merchants, who can then select the specific items to be tested when submitting their target objects. Specifically, the platform can display detailed attribute testing items corresponding to the category of the target object.

[0059] As described in step S202, the first server requests the second server to perform a detection task on the sampled objects of the target object.

[0060] The target object refers to the finished dishes prepared by merchants in the food production field; the sampling object refers to the finished dishes to be tested obtained by the third-party testing entity or the entity providing the transaction environment using the first server, which places an order with the merchant for the target object through the transaction environment provided by the first server. Specifically, the third-party testing entity or platform can simulate consumer orders and use the actually purchased dishes as the sampling objects to ensure the authenticity of the testing. Furthermore, each target object generates an independent testing task, and the sampling objects of each target object are tested separately to ensure the objectivity and validity of the attribute testing data. Preferably, the method further includes: the first server or the second server obtaining the validity period of the attribute data display task corresponding to the target object, determining the attribute data sampling plan within the validity period, and placing an order with the merchant for the target object according to the attribute data sampling plan, so as to continuously sample the attribute data of the target object. For uncontrollable finished dishes, the combination of a continuous sampling mechanism can detect the objectivity and authenticity of the attribute data of the dishes delivered to consumers.

[0061] In practice, the specific implementation includes: the first server generating the detection task based on the target category to which the target object belongs, and sending the task information of the detection task to the second server; or, the first server providing the target category to which the sampled object belongs to the second server, and the second server generating the detection task based on the target category; wherein, the detection task includes the detection items determined based on the feature data of the target category.

[0062] As described in step S203, the second server executes the detection task of the target object, generates attribute detection data of the sampled object, and sends it to the first server. Specifically, the attribute detection data includes the original detection result of the abstract object and the corresponding attribute parsing data; wherein, the attribute parsing data is formed based on the original detection result of the sampled object and the preset attribute evaluation standard corresponding to the category to which the target object belongs.

[0063] Preferably, the detection task is used to collect raw test results from multiple dimensions of the target object, such as the ingredients, freshness, attribute value and retention, cooking method, auxiliary ingredients (such as seasonings) and their addition amount, and ingredient supply chain of the dish. The collected data is then used by a third-party testing entity, such as an authoritative testing institution, to collect raw test results through testing equipment. Based on preset attribute evaluation standards, combined with authoritative expert reviews, market data research, professional institution testing, professional tasters and consumer ratings, the collected data is used to form attribute analysis data of the dish and displayed on the client. This makes the attribute information of the dish in the "blind box" state transparent and further presents it in a comprehensive way that consumers can understand on the platform, helping consumers reduce decision-making costs. The attribute analysis data is authoritative evaluation data, and in practice includes, but is not limited to, the following aspects: ingredient traceability, specifically including whether the source of the ingredients is clear, whether the season is clear, whether the selected varieties or parts are clear, whether the ingredients are safe and of a certain quality, and whether the information is transparent and traceable at each stage from farm to table; naturalness of auxiliary ingredients, i.e., whether natural seasonings or spices are used to ensure the taste and flavor of the dishes, and whether artificial chemical seasonings and food additives are used as little as possible or not at all; freshness rating information, i.e., whether frozen, chilled, or room temperature ingredients are used; attribute labeling information, i.e. whether specific attributes such as energy, protein, fat, carbohydrates, and sodium content are labeled, and whether each meets the proportion required by the human body daily; food safety and health, i.e. whether the new processes used in cooking / processing better preserve the nutrients of the ingredients, reduce the amount of oil, salt, and sugar used, and whether the ingredients contain special properties that are beneficial to health.

[0064] In practice, after the second server executes the detection task, it provides the first server with attribute detection data formed by the original detection results and attribute parsing data. Specifically, the second server executes the detection task and generates attribute detection data for the sampled object, including: the second server using food testing equipment to collect attribute index data from multiple dimensions such as ingredient usage, freshness, component value, and supply chain information for the sampled object, as the first attribute data of the sampled object; the second server determining the production process data of the sampled object based on the production process information and / or auxiliary material information of the target object, as the second attribute data of the sampled object; the second server forming the original detection result of the sampled object based on the first attribute data and the second attribute data; and the second server obtaining attribute parsing data obtained by parsing the original detection result based on a preset attribute evaluation standard, and using the original detection result and attribute parsing data as the attribute detection data of the sampled object. The attribute parsing data includes attribute rating data; the attribute rating data is determined based on the material quality score (e.g., ingredient quality score) and material component attribute value score (e.g., ingredient component attribute value score) included in the first attribute data, and the production process score included in the second attribute data; and / or, the attribute parsing data includes the parsing results of natural language expressions under one or more dimensions of attribute quality, category attribute characteristics, and food safety; and / or, the attribute parsing data includes attribute certification results, the attribute certification results indicating whether the sampled object is an attribute-certified object that has passed attribute certification, and the attribute-certified object has traceable main ingredients, auxiliary ingredients, attribute labeling information, and healthy production processes. For example, when the attribute-certified object is a dish, the attribute certification results of a certified dish have traceable ingredients, natural auxiliary ingredients, freshness grading, attribute labeling information, and healthy production processes.

[0065] In this embodiment, the method further includes: the second server acquiring attribute specification information, attribute professional user evaluation data, market research data, consumer user feedback data, and professional taste tester user feedback data, performing data analysis, determining the attribute indicators that consumers care about and that can be detected for the product category, and determining the standard range of each attribute indicator, thereby forming the preset attribute evaluation standard.

[0066] Furthermore, the second server determines whether the attribute detection data conforms to the standard range included in the preset attribute evaluation criteria, thereby obtaining the attribute authentication result of the sampled object; wherein, the sampled object conforming to the standard range is the attribute authentication object that has passed the attribute authentication. The second server assembles the attribute authentication result into the attribute parsing data and feeds it back to the first server.

[0067] In this embodiment, the third-party testing entity formulates attribute evaluation standards, including but not limited to attribute quality, sub-category attribute quality, and safety and hygiene, to address consumers' concerns about whether the dishes are too oily or salty, whether the ingredients are fresh, and whether they can meet their taste expectations. It also collaborates with industry experts to provide authoritative data interpretation of the original test results, conducts comprehensive data interpretation and analysis and attribute rating of the sampled items, and presents them in a way that consumers can understand, helping consumers reduce decision-making costs.

[0068] As described in step S204, the client displays the attribute detection data to assist the consumer in making a decision.

[0069] In practical applications, this specifically includes: the second server determining whether the attribute detection data conforms to the standard range included in the preset attribute evaluation standard, thereby obtaining the attribute authentication result of the sampled object; wherein, the sampled object conforming to the standard range is the attribute authentication object that has passed attribute authentication; the client displaying the target object and attribute data entry includes: the first server setting an attribute authentication identifier for the attribute authentication object that has passed attribute authentication; the client displaying the attribute data entry for the object with the attribute authentication identifier, and displaying the attribute authentication identifier related information in the attribute data entry. The client displays the target object and the attribute data entry associated with the attribute detection data. In response to the attribute data entry being triggered, the attribute detection data is displayed, including: the client displays a merchant's store page, which displays an attribute authentication navigation label; when the attribute authentication navigation label is selected, the client displays the merchant's target object with an attribute authentication identifier; and / or, the client displays an attribute authentication channel page, which contains attribute-authenticated objects with attribute authentication identifiers, including the target object; and / or, the client displays a search results page for attribute authentication-related search terms, which contains attribute-authenticated objects with attribute authentication identifiers, including the target object; wherein, when a page containing the target object displays the target object, the corresponding attribute data entry is displayed, or the corresponding attribute data entry is displayed on the target object's object information page; personalized attribute tags for the target object are displayed in association with the attribute data entry, and the personalized attribute tag text is obtained based on the attribute detection data of the sampled object. The response to the attribute data entry being triggered to display the attribute detection data includes: responding to the attribute data entry being triggered to call the attribute authentication information page of the target object; displaying at least one of the following information on the attribute authentication information page: a third-party testing entity information entry and entry text associated with the third-party testing entity information page; an original testing result viewing entry associated with the original testing result of the sampled object corresponding to the target object, as well as the testing number and testing time corresponding to the original testing result; attribute parsing data of the sampled object corresponding to the target object; wherein, the attribute detection data includes the original testing result and attribute parsing data, and the attribute parsing data includes at least one of the following data of the sampled object: attribute rating and attribute tag, attribute annotation information and attribute recommendation information, ingredient rating and ingredient data, and food safety information.

[0070] In this embodiment, when the third-party detection entity information entry is triggered, the detailed information of the third-party detection entity is displayed; wherein, the merchant attribute authentication entry associated with the attribute authentication opportunity page is displayed on the detailed information display page; after the merchant attribute authentication entry is triggered, the attribute authentication opportunity data corresponding to the merchant is collected so as to start the merchant's attribute authentication process through the attribute authentication opportunity data.

[0071] Please refer to Figure 3 The diagram illustrates the process of a merchant requesting attribute certification registration from the platform, including: a third-party attribute certification information page 301 and a merchant information collection page 302. Merchants can request attribute certification registration through a regular consumer client or through a merchant client. Taking the client display as an example, when a merchant is triggered to enter the attribute certification information page, the third-party attribute certification information page 301 is displayed. This page describes the attribute certification items, making it easier for merchants to understand the relevant information. For example, the displayed information includes, but is not limited to: product selection instructions, attribute testing instructions, category attribute testing scheme instructions, attribute rating standard instructions, and instructions on how attribute-certified dishes are displayed on the client. This page also displays the attribute certification entry point. When this entry point is triggered, the merchant information collection page 302 is displayed. The merchant information collection page collects merchant information to form attribute certification business opportunity data, thus enabling the registration process to be completed both online and offline.

[0072] Please refer to this again. Figure 4The diagram uses a dish as an example, including a store page (401), an object information page (402), and an attribute data page (403) for attribute-certified dishes. An attribute data display chain includes: the store page displays the corresponding attribute data entry when showcasing attribute-certified dishes; when this entry is triggered, the attribute data page for that attribute-certified dish is displayed. Another attribute data display chain includes: when an attribute-certified dish displayed on the store page (in an area different from the attribute data entry) is triggered, the object information page for that dish is displayed. The object information page also includes an attribute data entry, which, when triggered, displays the attribute data page for that attribute-certified dish. In practice, attribute-certified dishes can also be displayed on search results pages, attribute certification channel pages, or other pages, with each attribute-certified dish associated with its corresponding attribute data entry, or the object information page for each attribute-certified dish can contain that dish's attribute data entry. Furthermore, attribute tags matching the attribute-certified dish can also be displayed at the attribute data entry point, such as low-fat diet or low-calorie attribute tags. Attribute tags can be generated by the first server based on the attribute parsing data, or they can be generated by the second server during the generation of the attribute parsing data and provided to the first server as part of the attribute parsing data. As shown in the figure, the store page can also display an attribute certification navigation tag. When this tag is selected, it displays all attribute certification objects of the merchant. As shown in the figure, the attribute data page of attribute-certified dishes includes information on the third-party testing entity and an entry point to the attribute certification information page. When the attribute certification information page entry point is triggered, it displays relevant information about the attribute certification project and an entry point to the merchant registration link. The attribute data page also displays attribute testing data, including: an entry point for viewing the test report for the original test results, and at least some attribute parsing data. The attribute parsing data includes, but is not limited to: a summary of the attribute testing data of the sampled object (such as test number, test time, attribute rating, attribute tag, etc.), attribute labeling information, material information such as ingredient information, safety information such as food safety information, and attribute rating standard explanation information.

[0073] It is understandable that, such as Figure 3 and Figure 4 The appearance, size, position, style, layout, and text of the interface elements in the diagrams or similar displays are illustrative and do not constitute a limitation on the method described.

[0074] It should be noted that, unless otherwise specified, the features given in this embodiment and other embodiments of this application can be combined with each other, and steps 201 and S202 or similar terms do not limit the steps to be performed in a specific order.

[0075] This concludes the description of the method provided in this embodiment. The method utilizes the attribute detection capabilities of a professional and authoritative third-party testing entity to perform attribute detection on the sampled objects, establishing consumer trust. The attribute detection data is then displayed on the client connected to the first server, thus providing merchants with a complete solution from attribute detection to client-side attribute authentication. Deploying this method enables platforms providing food and beverage transactions to establish a user perception of healthy and reliable food ordering, thereby increasing platform transaction volume while allowing consumers to eat healthier.

[0076] Based on the above embodiments, the second embodiment of this application provides an attribute data processing method. The following is combined with... Figure 5 The method will be described below. For the same parts, please refer to the description of the corresponding parts in the above embodiments, which will not be repeated here. Figure 5 The attribute data processing methods shown, applied to the client, include:

[0077] Step S501: Display the attribute authentication object with the attribute authentication identifier, and the attribute data entry associated with the attribute detection data of the attribute authentication object; the attribute detection data is the detection data generated by a qualified third-party testing entity performing a testing task on the sampled objects representing the attribute authentication object.

[0078] Step S502: In response to the triggering of the attribute data entry of the target object in the attribute authentication object, the attribute detection data of the target object is displayed.

[0079] Preferably, the detection task is generated based on the category to which the attribute authentication object belongs; the attribute detection data includes the original detection results of the abstract object and the corresponding attribute parsing data; wherein, the attribute parsing data is formed based on the original detection results of the sampled object and the preset attribute evaluation standard corresponding to the category to which the attribute authentication object belongs.

[0080] The process of displaying an attribute-certified object with an attribute certification identifier and an attribute data entry associated with the attribute detection data of the attribute-certified object includes: displaying a merchant's store page, displaying an attribute certification navigation label on the merchant's store page, and displaying the merchant's attribute-certified object when the attribute certification navigation label is selected; and / or, displaying an attribute certification channel page, which contains the attribute-certified object; and / or, displaying a search results page for attribute certification-related search terms, which contains the attribute-certified object; wherein, when a page containing the attribute-certified object displays the attribute-certified object, the corresponding attribute data entry is displayed, or the corresponding attribute data entry is displayed on the object information page of the attribute-certified object; and personalized attribute tags of the attribute-certified object are displayed in association with the attribute data entry, the personalized attribute tag text being obtained based on the attribute detection data of the attribute-certified object.

[0081] Specifically, in response to the triggering of the attribute data entry of the target object in the attribute authentication object, the attribute detection data of the target object is displayed, including: in response to the triggering of the attribute data entry, the attribute authentication information page of the target object is invoked; the attribute authentication information page displays at least one of the following information: the third-party testing entity information entry and entry text associated with the third-party testing entity information page; the original test result viewing entry associated with the original test result of the sampled object corresponding to the target object, and the test number and test time corresponding to the original test result; the attribute parsing data of the sampled object corresponding to the target object, wherein the attribute parsing data includes at least one of the following data of the sampled object: attribute rating and attribute tag, attribute annotation information and attribute recommendation information, ingredient rating and ingredient data, and food safety information.

[0082] When the third-party testing entity information entry is triggered, the detailed information of the third-party testing entity is displayed; wherein, on the detailed information display page, the merchant attribute authentication entry associated with the attribute authentication opportunity page is displayed; after the merchant attribute authentication entry is triggered, the attribute authentication opportunity data corresponding to the merchant is collected, so as to start the merchant's attribute authentication process through the attribute authentication opportunity data.

[0083] This concludes the description of the method provided in this embodiment. The method displays attribute detection data of the sampled objects by a third-party testing entity. The attribute detection data includes attribute analysis data formed by authoritative data interpretation of the original test results and attribute rating information, which are presented in a comprehensive manner that consumers can understand, helping consumers reduce decision-making costs.

[0084] Based on the above embodiments, the third embodiment of this application provides an attribute data processing method. The following is in conjunction with... Figure 6 The method will be described below. For the same parts, please refer to the description of the corresponding parts in the above embodiments, which will not be repeated here. Figure 6 The attribute data processing method shown, applied to the first server, includes:

[0085] Step S, 601: Receive a request from a merchant to display corresponding attribute data for a target object, wherein the merchant is a merchant that has signed an attribute authentication project.

[0086] Step S602: Send an attribute detection request to the second server, requesting a qualified third-party testing entity to perform an attribute detection task on the sampled objects representing the target object, so as to detect the attributes of the target object by executing the detection task; the second server is the server used by the qualified third-party testing entity.

[0087] Step S603: Receive attribute detection data of the sampled object provided by the second server, wherein the attribute detection data is generated by the second server executing the detection task;

[0088] Step S604: Add an attribute authentication identifier to the target object based on the attribute detection data, and display the target object as an attribute authentication object with the attribute authentication identifier on the client.

[0089] Preferably, the detection task is generated based on the category to which the target object belongs; the attribute detection data includes the original detection results of the abstract object and the corresponding attribute parsing data; wherein, the attribute parsing data is formed based on the original detection results of the sampled object and the preset attribute evaluation standard corresponding to the category to which the target object belongs.

[0090] This concludes the description of the method provided in this embodiment. The method utilizes the attribute detection capabilities of a professional and authoritative third-party testing entity to perform attribute detection on the sampled objects, establishing consumer trust. The attribute detection data is then displayed on the client connected to the first server, thus providing merchants with a complete solution from attribute detection to client-side attribute authentication. Deploying this method enables platforms providing food and beverage transactions to establish a user perception of healthy and reliable food ordering, thereby increasing platform transaction volume while allowing consumers to eat healthier.

[0091] Based on the above embodiments, the fourth embodiment of this application provides an attribute data processing method. The following is in conjunction with... Figure 7 The method will be described below. For the same parts, please refer to the description of the corresponding parts in the above embodiments, which will not be repeated here. Figure 7 The attribute data processing method shown, applied to the second server, includes:

[0092] Step S701: Receive an attribute detection request from the first server requesting a qualified third-party testing entity to perform a testing task on the sampled object representing the target object, so as to detect the attributes of the target object by executing the testing task;

[0093] Step S702: Execute the detection task and generate attribute detection data for the sampled objects;

[0094] Step S703: Feed back the attribute detection data to the first server. The first server adds an attribute authentication identifier to the target object based on the attribute detection data, so that the target object is displayed on the client as an attribute authentication object with an attribute authentication identifier.

[0095] Preferably, the detection task is generated based on the category to which the target object belongs; the attribute detection data includes the original detection results of the abstract object and the corresponding attribute parsing data; wherein, the attribute parsing data is formed based on the original detection results of the sampled object and the preset attribute evaluation standard corresponding to the category to which the target object belongs.

[0096] This concludes the explanation of the method provided in this embodiment. The method utilizes the attribute detection capabilities of a professional and authoritative third-party testing entity to perform attribute detection on the sampled objects, thereby establishing consumer trust. The attribute detection data is displayed on the client side, which helps users establish a mindset of ordering food with healthy and reliable attributes on the platform for catering transactions, thereby increasing the platform's transaction volume while enabling consumers to eat healthier.

[0097] Corresponding to the second embodiment, the fifth embodiment of this application provides an attribute data processing apparatus; for related parts, please refer to the description of the corresponding method embodiment. Figure 8 The attribute data processing device shown in the figure includes:

[0098] The attribute data entry unit 801 is used to display attribute authentication objects with attribute authentication identifiers, and attribute data entry associated with the attribute detection data of the attribute authentication objects; the attribute detection data is the detection data generated by a qualified third-party testing entity performing a testing task on a sampled object representing the attribute authentication object.

[0099] The attribute data display unit 802 is used to display the attribute detection data of the target object in response to the triggering of the attribute data entry of the target object in the attribute authentication object.

[0100] Optionally, the detection task is generated based on the category to which the attribute authentication object belongs; the attribute detection data includes the original detection results of the abstract object and the corresponding attribute parsing data; wherein, the attribute parsing data is formed based on the original detection results of the sampled object and the preset attribute evaluation standard corresponding to the category to which the attribute authentication object belongs.

[0101] Optionally, the attribute data entry unit 801 is specifically used for: displaying a merchant store page, displaying an attribute authentication navigation label on the merchant store page, and displaying the merchant's attribute authentication object when the attribute authentication navigation label is selected; and / or, displaying an attribute authentication channel page, the attribute authentication channel page containing the attribute authentication object; and / or, displaying a search results page for attribute authentication-related search terms, the search results page containing the attribute authentication object; wherein, when a page containing the attribute authentication object displays the attribute authentication object, the corresponding attribute data entry is displayed, or the corresponding attribute data entry is displayed in the object information page of the attribute authentication object; and displaying personalized attribute tags of the attribute authentication object in association with the attribute data entry, the personalized attribute tag text being obtained based on the attribute detection data of the attribute authentication object.

[0102] Optionally, the attribute data display unit 802 is specifically used to: respond to the attribute data entry being triggered to call the attribute authentication information page of the target object; display at least one of the following information on the attribute authentication information page: a third-party testing entity information entry and entry text associated with the third-party testing entity information page; an original testing result viewing entry associated with the original testing result of the sampled object corresponding to the target object, as well as the testing number and testing time corresponding to the original testing result; attribute parsing data of the sampled object corresponding to the target object, wherein the attribute parsing data includes at least one of the following data of the sampled object: attribute rating and attribute tag, attribute annotation information and attribute recommendation information, ingredient rating and ingredient data, and food safety information.

[0103] Optionally, the attribute data display unit 802 is specifically used to: display the detailed information of the third-party detection entity when the third-party detection entity information entry is triggered; wherein, the merchant attribute authentication entry associated with the attribute authentication opportunity page is displayed on the detailed information display page; after the merchant attribute authentication entry is triggered, the attribute authentication opportunity data corresponding to the merchant is collected so as to start the merchant's attribute authentication process through the attribute authentication opportunity data.

[0104] Corresponding to the third embodiment, the sixth embodiment of this application provides an attribute data processing apparatus; for related parts, please refer to the description of the corresponding method embodiment. Figure 9The attribute data processing device shown in the figure includes:

[0105] The signing unit 901 is used to receive a request from a merchant to display corresponding attribute data for a target object, wherein the merchant is a merchant that has signed an attribute authentication project.

[0106] The detection request unit 902 is used to send an attribute detection request to a second server, requesting a qualified third-party detection entity to perform a detection task on the sampled objects representing the target object, so as to detect the attributes of the target object by executing the detection task; the second server is a server used by a qualified third-party detection entity.

[0107] The detection data receiving unit 903 is used to receive the attribute detection data of the sampled object provided by the second server, wherein the attribute detection data is generated by the second server when performing the detection task.

[0108] The attribute data display unit 904 is used to add an attribute authentication identifier to the target object based on the attribute detection data, and display the target object as an attribute authentication object with the attribute authentication identifier on the client.

[0109] Optionally, the detection task is generated based on the category to which the target object belongs; the attribute detection data includes the original detection results of the abstract object and the corresponding attribute parsing data; wherein, the attribute parsing data is formed based on the original detection results of the sampled object and the preset attribute evaluation standards corresponding to the category to which the target object belongs.

[0110] Corresponding to the fourth embodiment, the seventh embodiment of this application provides an attribute data processing apparatus; for related parts, please refer to the description of the corresponding method embodiment. Figure 10 The attribute data processing device shown in the figure includes:

[0111] The detection request unit 1001 is used to receive an attribute detection request sent by the first server, requesting a qualified third-party detection entity to perform a detection task on a sampled object representing a target object, so as to detect the attributes of the target object by executing the detection task;

[0112] Detection unit 1002 is used to perform the detection task and generate attribute detection data of the sampled object;

[0113] The detection data feedback unit 1003 is used to feed back the attribute detection data to the first server. The first server adds an attribute authentication identifier to the target object based on the attribute detection data, so that the target object is displayed on the client as an attribute authentication object with an attribute authentication identifier.

[0114] Optionally, the detection task is generated based on the category to which the target object belongs; the attribute detection data includes the original detection results of the abstract object and the corresponding attribute parsing data; wherein, the attribute parsing data is formed based on the original detection results of the sampled object and the preset attribute evaluation standards corresponding to the category to which the target object belongs.

[0115] Based on the above embodiments, one embodiment of this application provides another attribute data processing method, the relevant parts of which are described in the corresponding descriptions of the above embodiments. Figure 11 The attribute data processing methods shown include:

[0116] In step S1101, after the merchant requests the first platform to display attribute data for the target object, the sampled objects representing the target object are provided to the second platform; the second platform is a third-party testing platform with testing qualifications.

[0117] Step S1102: After obtaining the sampled object, the second platform performs a detection task on the sampled object to generate attribute detection data of the sampled object.

[0118] Step S1103: The first platform obtains the attribute detection data, generates attribute authentication information of the target object based on the attribute detection data, and provides the attribute authentication information to the client so that the client can display the attribute authentication information of the target object.

[0119] In this embodiment, the merchant sends an attribute data display request to the first platform via the merchant client. In response to this request, the first platform triggers an order for the target object to be authenticated, thus providing the sampled object to the second platform. Specifically, after receiving the attribute data display request, the first platform generates an attribute detection work order task and, by executing this task, provides the second platform with the sampled object of the target object, or causes the second platform to proactively place an order for the target object to use that item as a sample for attribute detection. The second platform independently performs attribute detection on the sampled object and generates attribute detection data. The generated attribute detection data is transmitted to the first platform for parsing or directly imported into the corresponding server for storage. Based on the attribute detection data, the first platform generates attribute authentication information in natural language that consumers can understand, which is displayed on the client along with the target object for consumers to use as reference information when placing an order.

[0120] Based on the above embodiments, one embodiment of this application provides an electronic device; for relevant parts, please refer to the corresponding descriptions of the above embodiments. Figure 12A schematic diagram of an electronic device is shown in the figure. The electronic device includes a memory and a processor. The memory is used to store a computer program, which, after being run by the processor, executes the method provided in the embodiments of this application.

[0121] Based on the above embodiments, one embodiment of this application provides a computer storage medium. For relevant details, please refer to the corresponding descriptions in the above embodiments. The schematic diagram of the computer storage medium is similar to that of an electronic device, and the memory in the diagram can be understood as the storage medium. The computer storage medium stores computer execution instructions, which, when executed by a processor, are used to implement the method provided in the embodiments of this application.

[0122] It should be noted that the embodiments in this application may involve platform operation, order transactions, and other situations. In practical applications, the solutions described herein should be applied within the scope permitted by applicable laws and regulations of the country in which they are applied.

[0123] It should be noted that the embodiments of this application may involve the use of user data. In practical applications, user-specific personal data should be used in the scheme described herein within the scope permitted by applicable laws and regulations, provided that it complies with the applicable laws and regulations of the country in which it is located (e.g., the user has given explicit consent, the user has been properly notified, etc.).

[0124] In a typical configuration, an electronic device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory. Memory may include non-persistent storage in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0125] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0126] Although this application discloses preferred embodiments as described above, it is not intended to limit this application. Any person skilled in the art can make possible changes and modifications without departing from the spirit and scope of this application. Therefore, the scope of protection of this application should be determined by the scope defined in the claims of this application.

Claims

1. A method for processing attribute data, characterized in that, include: The merchant requests the corresponding attribute data to be displayed for the target object from the first server. The first server requests the second server to execute a detection task on the sampled objects representing the target object, so as to detect the attributes of the target object by executing the detection task; the second server is a server used by a third-party detection entity with detection qualifications; The second server executes the detection task and generates attribute detection data for the sampled objects, and then sends the attribute detection data back to the first server. The client displays the target object and the attribute data entry associated with the attribute detection data. In response to the attribute data entry being triggered, the attribute detection data is displayed. The attribute detection data is the attribute data corresponding to the target object.

2. The method according to claim 1, characterized in that, The target object is the finished dishes made by merchants in the production field; the sampling object is the third-party testing entity or the transaction environment provider using the first server, which places an order with the merchant for the target object through the transaction environment provided by the first server, thereby obtaining the finished dishes to be tested. The method further includes: The first server or the second server obtains the validity period of the attribute data display task corresponding to the target object, determines the attribute data sampling plan within the validity period, and places an order with the merchant for the target object according to the attribute data sampling plan, so as to continuously sample the attribute data of the target object.

3. The method according to claim 1, characterized in that, The second server executes the detection task and generates attribute detection data for the sampled objects, including: The second server uses food testing equipment to collect attribute index data from multiple dimensions, including ingredients, freshness, component value, and supply chain information, for the sampled object, as the first attribute data of the sampled object; The second server determines the manufacturing process data of the sampled object based on the manufacturing process information and / or auxiliary material information of the target object, and uses it as the second attribute data of the sampled object; The second server generates the original detection result of the sampled object based on the first attribute data and the second attribute data; The second server obtains attribute parsing data obtained by parsing the original detection results based on preset attribute evaluation standards, and uses the original detection results and attribute parsing data as the attribute detection data of the sampled object.

4. The method according to claim 3, characterized in that, The attribute parsing data includes attribute rating data; the attribute rating data is determined based on the ingredient quality score and ingredient component value score included in the first attribute data, and the production process score included in the second attribute data; and / or, The attribute parsing data includes the parsing results of natural language expressions under one or more dimensions of attribute quality, category attribute characteristics, and food safety; and / or, The attribute parsing data includes attribute authentication results, which indicate whether the sampled object is an attribute-authenticated object that has passed attribute authentication. The attribute-authenticated object has traceable ingredients, natural auxiliary materials, freshness grading, attribute labeling information, and healthy production process.

5. The method according to claim 1, characterized in that, Also includes: The first server generates the detection task based on the target category to which the target object belongs, and sends the task information of the detection task to the second server; or, The first server provides the second server with the target category to which the sampled object belongs, and the second server generates the testing task based on the target category; The detection task includes determining the detection items based on the feature data of the target product category.

6. The method according to claim 1, characterized in that, Also includes: The second server determines whether the attribute detection data conforms to the standard range included in the preset attribute evaluation standard, thereby obtaining the attribute authentication result of the sampled object; wherein, the sampled object that conforms to the standard range is the attribute authentication object that has passed the attribute authentication. The client displays the target object and its attribute data entry points, including: The first server sets an attribute authentication identifier for the attribute authentication objects that have passed the attribute authentication for the sampled objects; The client displays an attribute data entry for objects with attribute authentication identifiers, and displays attribute authentication identifier-related information in the attribute data entry.

7. A method for processing attribute data, characterized in that, include: Displays attribute authentication objects with attribute authentication identifiers, as well as attribute data entry points associated with the attribute detection data of the attribute authentication objects; The attribute detection data is the detection data generated by a qualified third-party testing entity when performing a testing task on a sampled object that represents the attribute certification object; In response to the triggering of the attribute data entry of the target object in the attribute authentication object, the attribute detection data of the target object is displayed.

8. A method for processing attribute data, characterized in that, include: Receive a request from a merchant to display corresponding attribute data for a target object, wherein the merchant is a merchant that has signed an attribute authentication project; A request is sent to the second server to a qualified third-party testing entity to perform an attribute detection task on the sampled objects representing the target object, so as to detect the attributes of the target object by executing the detection task; the second server is the server used by the qualified third-party testing entity. Receive attribute detection data of the sampled object provided by the second server, wherein the attribute detection data is generated by the second server executing the detection task; Based on the attribute detection data, an attribute authentication identifier is added to the target object, and the target object is displayed to the client as an attribute authentication object with the attribute authentication identifier.

9. A method for processing attribute data, characterized in that, include: The system receives a request from a first server for a qualified third-party testing entity to perform an attribute testing task on a sampled object representing a target object, so as to detect the attributes of the target object by executing the testing task. Execute the detection task and generate attribute detection data for the sampled objects; The attribute detection data is fed back to the first server, and the first server adds an attribute authentication identifier to the target object based on the attribute detection data, so that the target object is displayed on the client as an attribute-authenticated object with an attribute authentication identifier.

10. A method for processing attribute data, characterized in that, include: After the merchant requests attribute data to display for the target object from the first platform, the sampled objects representing the target object are provided to the second platform; the second platform is a third-party testing platform with testing qualifications. After obtaining the sampled object, the second platform performs a detection task on the sampled object and generates attribute detection data of the sampled object; The first platform obtains the attribute detection data, generates attribute authentication information for the target object based on the attribute detection data, and provides the attribute authentication information to the client so that the client can display the attribute authentication information of the target object.

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