CN117252606A - Product qualification checking method, device and equipment - Google Patents

Product qualification checking method, device and equipment Download PDF

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Publication number
CN117252606A
CN117252606A CN202311353848.8A CN202311353848A CN117252606A CN 117252606 A CN117252606 A CN 117252606A CN 202311353848 A CN202311353848 A CN 202311353848A CN 117252606 A CN117252606 A CN 117252606A
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qualification
product
information
rule
target
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苟廷熹
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China Construction Bank Corp
CCB Finetech Co Ltd
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China Construction Bank Corp
CCB Finetech Co Ltd
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Priority to CN202311353848.8A priority Critical patent/CN117252606A/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/018—Certifying business or products
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/903—Querying
    • G06F16/90335—Query processing
    • G06F16/90344—Query processing by using string matching techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/08—Insurance

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Abstract

The application provides a product qualification checking method, device and equipment, and relates to the field of data verification. In the method, attribute information of a target product is determined; determining a first rule and a second rule of the target product according to the attribute information, wherein the first rule is used for appointing and collecting the content of qualification information of the target product, and the second rule is used for checking the qualification of the target product; collecting the first qualification information of the target class product from a third party platform based on a first rule, wherein the first qualification information is used for indicating the qualification of an object related to a product line of the target class product; and according to a second rule, checking the first qualification information to obtain a qualification checking result of the target product.

Description

Product qualification checking method, device and equipment
Technical Field
The application relates to the field of data verification and provides a method, a device and equipment for verifying product qualification.
Background
The institution may provide the customer with an intermediary service for the sale of products such as: insurance products, financial products and the like, if no qualification or qualification failure intermediary personnel engage in insurance or financial business consultation and solicitation, risk management and arrangement, value measurement and evaluation and other intermediary service activities, the agency is subjected to supervision punishment and even the policy fails; if the agency staff recommends false insurance products, resulting in the applicant holding false policies, etc., the behavior offences criminal law, which may compromise the agency reputation.
At present, qualification checks of different types of products are checked in the same mode, so that the checking accuracy is not high.
Disclosure of Invention
The embodiment of the application provides a method, a device and equipment for checking product qualification, which are used for improving the accuracy of product qualification checking.
In a first aspect, an embodiment of the present application provides a product qualification checking method, including:
determining attribute information of a target product; determining a first rule and a second rule of the target product according to the attribute information, wherein the first rule is used for appointing and collecting the content of qualification information of the target product, and the second rule is used for checking the qualification of the target product; collecting the first qualification information of the target class product from a third party platform based on the first rule, wherein the first qualification information is used for indicating the qualification of an object related to a product line of the target class product; and according to the second rule, checking the first qualification information to obtain a qualification checking result of the target product.
In the embodiment of the application, the first qualification information of the target product is acquired through the third party platform, wherein the content of the qualification information of the target product is appointed and acquired according to the first rule, so that the content of the qualification information is personalized and accurate, the first qualification information is checked according to the second rule, the second rule is generated according to the first rule, and different check rules can be provided for the qualification check of the product according to the attribute information, so that the verification is personalized and accurate.
Optionally, before verifying the first qualification information according to the second rule to obtain a qualification verification result of the target product, the method further includes: determining that the target class product has a sold product and that a period of verifying the target class product has been reached; or determining that the target product does not exist on the sold products, and selling the products in the target product within a preset time period.
In the above-mentioned alternative embodiment, according to whether there is a sold product in the target product, the verification time of the product is adjusted, and the sold product is periodically verified, so that it can be ensured that the sold product is continuously ensured, and the risk is timely found before the next sale.
Optionally, the first qualification information includes information of a first object providing the target class product and information of a second object of the target class product; according to the second rule, verifying the first qualification information to obtain a qualification verification result of the target product, including: if the matching degree of the first qualification information and the second qualification information is greater than or equal to a first threshold value, determining that the qualification checking result is checked to pass, wherein the second qualification information is acquired from the first object or the second object and indicates the qualification of the object related to the product line of the target product; and if the matching degree of the first qualification information and the second qualification information is smaller than a first threshold value, the qualification checking result is a checking failure.
In the above optional embodiment, the matching degree of the first qualification information and the second qualification information is checked in the first rule, so that the qualification information provided by the third party platform and the qualification information provided by the first object or the second object are compared, and the speed and accuracy of the qualification check can be improved through text matching.
Optionally, before determining that the qualification checking result is that the check passes, the method further includes: determining abnormal information of the first qualification information; and determining that the association degree of the abnormal information of the first qualification information and the target class product is smaller than or equal to a second threshold value or the association degree of the abnormal information of the pre-stored target class product and the target class product is smaller than or equal to a third threshold value.
In the above optional embodiment, the association degree of the abnormal information in the first qualification information and the target class product and the association degree of the abnormal information of the pre-stored target class product and the target class product are determined, so that the abnormal information irrelevant to the sales of the target class product does not influence the qualification checking result of the target class product, and the qualification checking result is more accurate.
Optionally, the method further comprises: generating an alarm task according to the abnormal information of the first qualification information and a third rule of the target class product, wherein the third rule is used for determining the grade of the alarm task, and the third rule is generated according to the first rule.
In the above optional implementation manner, the alarm is given in time according to the third rule, so that timeliness of product qualification verification is improved, and influence of products failing to verify on buyers and sellers is reduced.
Optionally, the method further comprises: if the qualification checking result is abnormal, setting the state of the target product to be not allowed to be sold; and if the qualification checking result is normal, setting the state of the target product to be permitted to be sold.
In the above optional embodiment, the states of the target products are set to be permitted to sell and not permitted to sell according to the qualification checking result, so that the transaction flow of the products which are not sold is blocked in time, and the timeliness of the qualification checking of the products is also improved.
In a second aspect, an embodiment of the present application provides a product qualification checking method apparatus, where the apparatus includes:
the determining module is used for determining attribute information of the target product;
the determining module is further configured to determine a first rule and a second rule of the target product according to the attribute information, where the first rule is used for specifying and collecting content of qualification information of the target product, and the second rule is used for verifying qualification of the target product;
the acquisition module is used for acquiring the first qualification information of the target class product from a third party platform based on the first rule, wherein the first qualification information is used for indicating the qualification of an object involved in a product line of the target class product;
and the verification module is used for verifying the first qualification information according to the second rule to obtain a qualification verification result of the target product.
Optionally, the determining module is further configured to determine that the target product has a sold product and a period for verifying the target product has been reached before verifying the first qualification information according to the second rule and obtaining a qualification verification result of the target product; or determining that the target product does not exist on the sold products, and selling the products in the target product within a preset time period.
Optionally, the first qualification information includes information of a first object providing the target class product and information of a second object of the target class product; the verification module is specifically configured to determine that the qualification verification result is verification passing if the degree of matching between the first qualification information and the second qualification information is greater than or equal to a first threshold, where the second qualification information is acquired from the first object or the second object and indicates the qualification of the object related to the product line of the target product; and if the matching degree of the first qualification information and the second qualification information is smaller than a first threshold value, the qualification checking result is a checking failure.
Optionally, the determining module is further configured to determine, before determining that the qualification checking result is that the check passes, abnormal information of the first qualification information; and determining that the association degree of the abnormal information of the first qualification information and the target class product is smaller than or equal to a second threshold value or the association degree of the abnormal information of the pre-stored target class product and the target class product is smaller than or equal to a third threshold value.
Optionally, the determining module is further configured to generate an alarm task according to the abnormal information of the first qualification information and a third rule of the target product, where the third rule is used to determine a level of the alarm task, and the third rule is generated according to the first rule.
Optionally, the verification module is further configured to set a state of the target product to be not allowed to be sold if the qualification verification result is abnormal; and if the qualification checking result is normal, setting the state of the target product to be permitted to be sold.
In a third aspect, an embodiment of the present application provides a product qualification checking method apparatus, including:
at least one processor, and
a memory communicatively coupled to the at least one processor;
wherein the memory stores instructions executable by the at least one processor, the at least one processor implementing the method of any one of the first aspects by executing the instructions stored by the memory.
In a fourth aspect, embodiments of the present application provide a computer program product comprising computer instructions which, when run on a computer, cause the method according to any one of the first aspects to be carried out.
In a fifth aspect, embodiments of the present application provide a computer-readable storage medium storing computer instructions that, when run on a computer, cause the computer to perform the method of any one of the first aspects.
The advantages of the second to fifth aspects may be discussed with reference to the first aspect, and are not described here.
Drawings
Fig. 1 is a schematic diagram of a product qualification checking scenario provided in an embodiment of the present application;
FIG. 2 is a flowchart of a method for verifying product qualification according to an embodiment of the present application;
fig. 3 is a flowchart of a method for verifying first qualification information according to an embodiment of the present application;
FIG. 4 is an interaction diagram between various institutions provided in an embodiment of the present application;
fig. 5 is a schematic structural diagram of a product qualification checking apparatus according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of a product qualification checking apparatus according to an embodiment of the present application.
Detailed Description
For a better understanding of the technical solutions provided by the embodiments of the present application, the following detailed description will be given with reference to the drawings and specific embodiments.
It should be noted that, in the technical solution of the embodiment of the present application, the data collection, transmission, use, etc. all conform to the requirements of relevant national laws and regulations.
When the organization provides the intermediary service of the product for the customer, the abnormal risks of false products (such as insurance products or financial products) or companies related to the products are avoided as much as possible, so that the loss caused by the organization is reduced, even illegal operation of the organization is possibly caused, and therefore, how to improve the accuracy of checking the qualification of the product is a problem to be solved urgently.
In view of this, the embodiment of the present application provides a product qualification checking method, which may be applied to a scenario requiring checking of product qualification, for example, a scenario of selling a product, and the following describes, with reference to the accompanying drawings, examples of scenarios to which the embodiment of the present application may be applied.
Fig. 1 illustrates a scenario provided by an embodiment of the present application. The scenario includes an object providing a target class product to an organization, the object including a first object of the target class product and a second object of the target class product, a customer purchasing the target class product through the organization. The first device and the third device can mutually carry out data transmission, the first device belongs to an organization, the second device belongs to a client, and the third device belongs to a third party platform.
The target class product may be some insurance product or financial product, and the first object of the target class product may be: the company providing the target class product, the second object of the target class product may be: the agent providing the first type of product, the third party platform may be a supervisory platform, the first device, the second device and the third device being for example: a server, a terminal, or the like can execute a program and have a storage medium.
Before a customer purchases a target product through a mechanism, the mechanism acquires qualification information of the target product from a third party platform through first equipment, and the first equipment performs qualification verification on the target product to confirm whether the target product is sold or not.
The following describes a product qualification checking method according to an embodiment of the present application with reference to the accompanying drawings.
Fig. 2 is a schematic flow chart of a product qualification checking method according to an embodiment of the present application. The method is described in terms of a first device implementation.
The first device referred to in fig. 2 is, for example, the first device in fig. 1, the target class product referred to in fig. 2 is, for example, the target class product in fig. 1, the first object of the target class product referred to in fig. 2 is, for example, the first object of the target class product in fig. 1, and the second object of the target class product referred to in fig. 2 is, for example, the second object of the target class product in fig. 1.
S201, the first device determines attribute information of the target class product.
The target class product refers to a target class product to which a product to be checked currently belongs, and the target class product refers to a certain class of products, for example, a class of products with certain common attributes. The attribute information of the target class product is provided by the first object of the target class product or the second object of the target class product, wherein the attribute information comprises the category of the target class product, for example, the category of the target class product can be: property loss class of insurance products, liability insurance class of insurance products, credit insurance class of insurance products, high risk class of financial products, low risk class of financial products, and the like. The classification of the target class products can be further classified according to the validity period of the products, for example, the products are regular products or life-long products.
S202, the first device determines a first rule and a second rule of the target class product according to the attribute information.
The first rule is used for specifying the content of first qualification information of the target product, and the content can be acquired as follows: whether the first object of the target class product registers, whether the second object of the target class product registers, whether the first object of the target class product has relevant qualification, whether the second object of the target class product has relevant qualification, and the effective time limit of the relevant qualification.
For example, the first device may pre-store a first correspondence, where the first correspondence includes a plurality of attribute information and a rule corresponding to each attribute information in the plurality of attribute information, and after determining the attribute information of the target product, the first device may determine, from the first correspondence, a rule corresponding to the attribute information of the target product according to the attribute information of the target product, that is, the first rule. The attribute information of the target class product is, for example, class information of the target class product.
Possibly, if the target class product is an insurance class product, the first rule designates to collect qualification information of the second object, and if the target class product is a financial class product, the first rule does not require to collect qualification information of the second object.
The second rule is used for checking qualification of the target class product. The second rule is generated according to the content of the first qualification information appointed to be collected in the first rule. For example, the first device may pre-store a second correspondence, where the second correspondence includes contents of the plurality of types of first qualification information and rules corresponding to the contents of the plurality of types of first qualification information, and after determining the collected contents of the first qualification information, the first device may determine, from the second correspondence, a rule corresponding to the contents of the first qualification information, that is, the second rule, according to the contents of the first qualification information. The attribute information of the target class product is, for example, class information of the target class product.
If the collected content specified in the first rule only comprises conventional collected content, such as qualification, business scope and the like of the first object, the second rule adopts conventional rules; the content that is specified to be collected as in the first rule also includes special collection content such as: and if the special industry qualifies, the second rule adopts a special rule to independently check the special acquisition content or improve the check success standard.
S203, the first device collects first qualification information of the target class product from the third party platform based on the first rule.
The third party platform may be a supervisory platform such as a query link or interface provided by the national financial supervisory authority. And acquiring from the third party platform according to the first qualification information required to be acquired specified in the second rule.
S204, the first equipment verifies the first qualification information according to the second rule to obtain a qualification verification result of the target product.
Before checking the first qualification information according to the first rule, the first device determines whether to check according to whether the sold product exists in the target class product and the current time point of the target class product. If the target product exists the sold product and the verification period of the verification target product is reached; or the target product does not exist the sold product, and the product in the target product is sold within the preset time period, the first qualification information is checked. The preset time period may be a preset purchase buffer period, and specifically may be a preset time period such as 24 hours.
After the qualification checking of the target class product is finished, if the qualification checking result is abnormal, setting the state of the target class product to be not permitted to be sold. And if the qualification checking result is normal, setting the state of the target product to be permitted to be sold.
According to a first specific implementation mode of the second rule, the first qualification information is checked, and a qualification check result of the target product is obtained as follows:
if the matching degree of the first qualification information and the second qualification information is greater than or equal to a first threshold value, determining that the qualification checking result is passing checking; and if the matching degree of the first qualification information and the second qualification information is smaller than a first threshold value, the qualification checking result is a checking failure.
The second qualification information is obtained from the first object or the second object and indicates the qualification of the object involved in the product line of the target class product, the object comprising: a first object and a second object. The first qualification information and the second qualification information can be set to the same fixed format, character string matching is carried out on the first qualification information and the second qualification information, and if the formats of the first qualification information and the second qualification information are different, fuzzy matching can be carried out, and the specific implementation mode is as follows:
in the first mode, the first qualification information and the second qualification information are respectively subjected to data conversion, text information is converted into digital vectors through coding, the first information vectors and the second information vectors are generated, euclidean distances between the first vectors and the second vectors are calculated, and therefore the matching degree of the first qualification information and the second qualification information is obtained.
In a second mode, word segmentation is carried out on the first qualification information, word frequency is calculated, a first word frequency vector is generated, the same processing is carried out on the second qualification information, a second word frequency vector is generated, cosine similarity of the first word frequency vector and the second word frequency vector is calculated, and therefore the matching degree of the first qualification information and the second qualification information is obtained.
The first threshold may be preset in the first device.
According to a second embodiment of the second rule, the first qualification information is checked to obtain a qualification checking result of the target product, which may specifically include the following steps of the method for checking the first qualification information shown in fig. 3, which are described below.
S301, determining whether the matching degree of the first qualification information and the second qualification information is smaller than a first threshold value.
The specific implementation method for determining the matching degree of the first qualification information and the second qualification information is as described above, and will not be described here.
S302, determining abnormal information of the first qualification information.
And determining abnormal information in the first qualification information according to the acquired related information of the first object and the acquired related information of the second object in the first qualification information. Such as failure of the first object to query, temporary non-qualification of the first object, expiration or loss of the qualification license of the first object, failure of the license of the second object, etc., are all considered as abnormal information of the first qualification information.
In one possible implementation, the alarm task is generated according to the anomaly information of the first qualification information and the third rule of the target class product. The third rule is used to determine the level of the alert task. The third rule is generated according to the first rule.
The first device pre-stores the emergency degree of the possible abnormal information in the qualification information, for example, the sum of the emergency degrees corresponding to the first qualification information is equal to the sum of the emergency degrees of the abnormal information in the first qualification information. And the first equipment calculates the sum of the emergency degrees corresponding to the first qualification information according to the third rule, so as to determine the grade of the alarm task.
The first device may pre-store a third correspondence, where the third correspondence includes contents of the plurality of first qualification information and rules corresponding to the contents of the plurality of first qualification information, and after determining the collected contents of the first qualification information, the first device may determine, from the third correspondence, a rule corresponding to the contents of the first qualification information, that is, the third rule, according to the contents of the first qualification information.
Possibly, the emergency degree of the abnormality information specified in the third rule is as follows:
TABLE 1
For example, the first object has an organization license expiration urgency of 3-5, and the first object has an organization license loss urgency of 1, calculated specifically according to the third rule.
A possible correspondence between the alarm task level specified in the third rule and the sum of the urgency level is shown in table 2 below:
TABLE 2
Alarm task class Sum of emergency degrees
Without warning 1-3
Low-level warning 4-6
Advanced warning 7-positive infinity
For example, the alarm task level is no warning when the sum of the emergency degrees 1-3 is no warning, the sum of the emergency degrees 4-6 is a low-level warning, and the sum of the emergency degrees 7 to positive infinity is an high-level warning
S303, determining whether the association degree of the abnormal information of the first qualification information and the target class product is larger than a second threshold value.
The degree of association of the abnormality information of the first qualification information with the first product may be determined by the degree of urgency of the abnormality information in the first qualification information mentioned in the foregoing.
Or the association degree of the target class product and the abnormal information of the first qualification information is obtained through the association degree of the target class product and the different pre-stored abnormal information, for example: the association degree is medium when the license of the second object is lost, and the association degree is lower when the address of the first object is abnormal.
S304, determining whether the association degree of the pre-stored abnormal information of the target class product and the target class product is larger than a third threshold value.
If the organization has sold the target product, the organization can use the pre-stored abnormal information of the target product, such as: abnormal information in related records of past sales and determining the association degree with the current target product to be sold according to the abnormal information.
S305, if the matching degree of the first qualification information and the second qualification information is greater than or equal to a first threshold value, the association degree of the abnormal information of the first qualification information and the target class product is less than or equal to a second threshold value, and the association degree of the pre-stored abnormal information of the target class product and the target class product is less than or equal to a third threshold value, the first device determines that the verification is successful.
In another case, S302, S303 and S304 are optional steps.
In this case, the condition for success of the verification includes one of the following first to third.
First, the matching degree of the first qualification information and the second qualification information is larger than or equal to a first threshold value.
Second, the matching degree of the first qualification information and the second qualification information is larger than or equal to a first threshold value, and the association degree of the abnormal information of the first qualification information and the target product is smaller than or equal to a second threshold value.
Third, the matching degree of the first qualification information and the second qualification information is larger than or equal to a first threshold value, and the association degree of the pre-stored abnormal information of the target product and the target product is smaller than or equal to a third threshold value.
S306, the first device determines that the verification fails.
The verification failure includes: the matching degree of the first qualification information and the second qualification information is smaller than a first threshold value, the association degree of the abnormal information of the first qualification information and the target class product is larger than a second threshold value, or the association degree of the pre-stored abnormal information of the target class product and the target class product is larger than a third threshold value.
According to the matching degree of the first qualification information and the second qualification information and the abnormal information in the first qualification information, the relevant abnormal information is reported to the supervision mechanism, so that the supervision mechanism can acquire the relevant information in time, and further, other mechanisms for selling target products can share the relevant information through the supervision platform.
The foregoing is a schematic diagram of steps for checking product qualification, and the method for checking product qualification according to the embodiment of the present application is described below with reference to an interaction diagram between devices in the embodiment of the present application shown in fig. 4.
The organization involved in fig. 4 is, for example, the organization shown in fig. 1, and the regulatory organization is, for example, the regulatory organization shown in fig. 1.
S401-S407 in fig. 4 are examples of the interaction process between institutions in the embodiment of the present application of the methods of fig. 2 and 3 described above.
S401, the first device determines attribute information of the target class product.
The attribute information and the contents of the target class product may refer to the attribute information and the contents of the target class product described in fig. 2.
S402, the first device determines a first rule and a second rule of the target class product according to the attribute information.
The content of both the first rule and the second rule may be as described above with reference to fig. 2.
S403, the first device collects first qualification information of the target class product from the third party platform based on the first rule.
The content of the first qualification information may be referred to as the content of the first qualification information described in fig. 2 above. The third party platform may be a regulatory agency.
S404, the third device queries successfully.
The supervising entity queries the internal database for data successfully and then returns the query results to the entity.
S405, according to the second rule, checking the first qualification information to obtain a qualification checking result of the target product.
The content of obtaining the qualification result of the target product may refer to the foregoing qualification result of the target product shown in fig. 2.
S406, the third device registers the abnormality information.
The organization feeds the abnormal information back to the supervision organization, and the supervision organization registers the abnormal information.
S407, the first device terminates the service.
And if the first qualification information is verified to be failed by the mechanism, setting the state of the target product to be incapable of selling, namely ending the selling service.
Based on the same inventive concept, the embodiment of the application provides a product qualification checking device. Referring to fig. 5, an embodiment of the present application provides a product qualification checking apparatus.
As shown in fig. 5, the product qualification device 500 includes a determining module 501, an acquiring module 502, and a checking module 503.
Illustratively, a determining module 501 is configured to determine attribute information of a target product;
the determining module 501 is further configured to determine, according to the attribute information, a first rule and a second rule of the target product, where the first rule is used to specify and collect content of qualification information of the target product, and the second rule is used to verify qualification of the target product;
the acquisition module 502 is configured to acquire, based on a first rule, first qualification information of a target product from a third party platform, where the first qualification information is used to indicate a qualification of an object related to a product line of the target product;
and the verification module 503 is configured to verify the first qualification information according to the second rule, and obtain a qualification verification result of the target product.
Optionally, the determining module 501 is further configured to determine that the target product has a sold product and has reached a period for verifying the target product before verifying the first qualification information according to the second rule and obtaining a qualification verification result of the target product; or determining that the object product does not exist the sold product, and selling the products in the object product within a preset time period.
Optionally, the first qualification information includes information of a first object providing the target class product and information of a second object of the target class product; the verification module 503 is specifically configured to determine that the qualification result is verification if the degree of matching between the first qualification information and the second qualification information is greater than or equal to a first threshold, where the second qualification information is acquired from the first object or the second object and indicates the qualification of the object related to the product line of the target product; and if the matching degree of the first qualification information and the second qualification information is smaller than the first threshold value, the qualification checking result is a checking failure.
Optionally, the determining module 501 is further configured to determine, before determining that the qualification result is that the check passes, abnormal information of the first qualification information; and determining that the association degree of the abnormal information of the first qualification information and the target class product is smaller than or equal to a second threshold value or the association degree of the abnormal information of the pre-stored target class product and the target class product is smaller than or equal to a third threshold value.
Optionally, the determining module 501 is further configured to generate an alarm task according to the anomaly information of the first qualification information and a third rule of the target class product, where the third rule is used to determine a level of the alarm task, and the third rule is generated according to the first rule.
Optionally, the verification module 503 is further configured to set the state of the target product to be not allowed to be sold if the qualification verification result is abnormal; and if the qualification checking result is normal, setting the state of the target product to be permitted to be sold.
The steps performed by the determining module 501, the collecting module 502 and the verifying module 503 may be discussed with reference to fig. 2, and will not be described herein.
Based on the same inventive concept, the embodiment of the application provides a product qualification checking device. Referring to fig. 6, an embodiment of the present application provides a product qualification checking apparatus 600, including: at least one processor 601, and a memory 602 communicatively coupled to the at least one processor 601; wherein the memory 602 stores instructions executable by the at least one processor 601, the at least one processor 601 implementing a method according to any one of the product qualification methods shown in fig. 2 by executing the instructions stored by the memory 602.
The processor 601 may be a central processing unit (central processing unit, CPU), other general purpose processor, digital signal processor (digital signal processor, DSP), application specific integrated circuit (Application specific integrated circuit, ASIC), field programmable gate array (field programmable gate array, FPGA) or other programmable logic device, transistor logic device, hardware components, or any combination thereof.
The memory 602 may include volatile memory (RAM), such as random access memory (random access memory). The memory may also include a non-volatile memory (ROM), such as a read-only memory (ROM), a flash memory, a mechanical hard disk (HDD), or a solid state disk (solid state drive, SSD).
Based on the same inventive concept, embodiments of the present application provide a computer-readable storage medium storing computer instructions that, when run on a computer, cause the computer to perform a method as described in any one of the product qualification methods shown in fig. 2.
Based on the same inventive concept, embodiments of the present application provide a computer program product comprising computer instructions that, when run on a computer, cause a method as described above in any one of the product qualification methods shown in fig. 2.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may 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, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various modifications and variations can be made in the present application without departing from the spirit or scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims and the equivalents thereof, the present application is intended to cover such modifications and variations.

Claims (11)

1. A method for product qualification verification, comprising:
determining attribute information of a target product;
determining a first rule and a second rule of the target product according to the attribute information, wherein the first rule is used for appointing and collecting the content of qualification information of the target product, and the second rule is used for checking the qualification of the target product;
collecting the first qualification information of the target class product from a third party platform based on the first rule, wherein the first qualification information is used for indicating the qualification of an object related to a product line of the target class product;
and according to the second rule, checking the first qualification information to obtain a qualification checking result of the target product.
2. The method of claim 1, wherein before verifying the first qualification information according to the second rule to obtain a qualification result for the target class product, the method further comprises:
determining that the target class product has a sold product and that a period of verifying the target class product has been reached; or alternatively, the first and second heat exchangers may be,
determining that the target product does not exist on the sold products, and selling the products in the target product within a preset time period.
3. The method of claim 1, wherein the first qualification information includes information providing a first object of the target class product and information providing a second object of the target class product;
according to the second rule, verifying the first qualification information to obtain a qualification verification result of the target product, including:
if the matching degree of the first qualification information and the second qualification information is greater than or equal to a first threshold value, determining that the qualification checking result is checked to pass, wherein the second qualification information is acquired from the first object or the second object and indicates the qualification of the object related to the product line of the target product;
and if the matching degree of the first qualification information and the second qualification information is smaller than a first threshold value, the qualification checking result is a checking failure.
4. The method of claim 3, further comprising, prior to determining that the qualification check result is a check pass:
determining abnormal information of the first qualification information;
and determining that the association degree of the abnormal information of the first qualification information and the target class product is smaller than or equal to a second threshold value or the association degree of the abnormal information of the pre-stored target class product and the target class product is smaller than or equal to a third threshold value.
5. The method of claim 4, wherein the method further comprises:
generating an alarm task according to the abnormal information of the first qualification information and a third rule of the target class product, wherein the third rule is used for determining the grade of the alarm task, and the third rule is generated according to the first rule.
6. The method of any one of claims 1-5, wherein the method further comprises:
if the qualification checking result is abnormal, setting the state of the target product to be not allowed to be sold;
and if the qualification checking result is normal, setting the state of the target product to be permitted to be sold.
7. A product qualification method apparatus, the apparatus comprising:
the determining module is used for determining attribute information of the target product;
the determining module is further configured to determine a first rule and a second rule of the target product according to the attribute information, where the first rule is used for specifying and collecting content of qualification information of the target product, and the second rule is used for verifying qualification of the target product;
the acquisition module is used for acquiring the first qualification information of the target class product from a third party platform based on the first rule, wherein the first qualification information is used for indicating the qualification of an object involved in a product line of the target class product;
and the verification module is used for verifying the first qualification information according to the second rule to obtain a qualification verification result of the target product.
8. The apparatus as claimed in claim 7, comprising:
the determining module is further configured to determine that the target product has a sold product and a period for verifying the target product has been reached before verifying the first qualification information according to the second rule and obtaining a qualification verification result of the target product; or determining that the target product does not exist on the sold products, and selling the products in the target product within a preset time period.
9. A product qualification method apparatus, comprising:
at least one processor, and
a memory communicatively coupled to the at least one processor;
wherein the memory stores instructions executable by the at least one processor, the at least one processor implementing the method of any of claims 1-6 by executing the memory stored instructions.
10. A computer program product comprising computer instructions which, when run on a computer, cause the method of any of claims 1-6 to be carried out.
11. A computer readable storage medium storing computer instructions which, when run on a computer, cause the computer to perform the method of any one of claims 1-6.
CN202311353848.8A 2023-10-18 2023-10-18 Product qualification checking method, device and equipment Pending CN117252606A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311353848.8A CN117252606A (en) 2023-10-18 2023-10-18 Product qualification checking method, device and equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311353848.8A CN117252606A (en) 2023-10-18 2023-10-18 Product qualification checking method, device and equipment

Publications (1)

Publication Number Publication Date
CN117252606A true CN117252606A (en) 2023-12-19

Family

ID=89133003

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202311353848.8A Pending CN117252606A (en) 2023-10-18 2023-10-18 Product qualification checking method, device and equipment

Country Status (1)

Country Link
CN (1) CN117252606A (en)

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