CN117171816B

CN117171816B - Data verification method based on industrial identification and related equipment

Info

Publication number: CN117171816B
Application number: CN202311449222.7A
Authority: CN
Inventors: 胡世磊; 时宗胜; 蒋剑; 渠立孝; 王飞; 张晨; 孙旭
Original assignee: Jiangsu Zhongtian Internet Technology Co ltd
Current assignee: Jiangsu Zhongtian Internet Technology Co ltd
Priority date: 2023-11-02
Filing date: 2023-11-02
Publication date: 2024-01-05
Anticipated expiration: 2043-11-02
Also published as: CN117171816A

Abstract

The application provides a data verification method and related equipment based on an industrial identifier, wherein the data verification method based on the industrial identifier comprises the following steps: acquiring an identification state of an industrial identification in a page; generating a data verification request when the identification state is on; determining data to be verified corresponding to the industrial identification according to the verification request; determining a first score of the data to be verified by analyzing the integrity of the data to be verified; when the first score is greater than or equal to a first threshold value, acquiring a plurality of candidate keywords recorded by the verification request; determining a verification level of the data to be verified, and determining a target keyword from a plurality of candidate keywords according to the verification level; determining verification content in the data to be verified according to the target keywords, and determining a second score corresponding to the verification content; and when the second score is the same as the second threshold value, determining that the data to be verified passes verification. The application relates to the technical field of data verification, and can improve the efficiency of data verification based on industrial identification.

Description

Data verification method based on industrial identification and related equipment

Technical Field

The application relates to the technical field of data verification, in particular to the technical field of data verification based on industrial identification, and especially relates to a data verification method based on industrial identification and related equipment, wherein the related equipment comprises a data verification device based on industrial identification, electronic equipment and a storage medium.

Background

With the development of industrial internet technology, organizations and enterprises generally tend to associate and manage organization-related data using industrial internet identification. For example, e-commerce platforms typically utilize industry identifications to correlate product information in order for users to review the product information; manufacturers commonly utilize industrial identification to associate production line data, so that operation and maintenance personnel can conveniently operate and maintain the production line. At present, compliance of data associated with an industrial identifier is usually evaluated through different states of the industrial identifier, however, only whether corresponding information is registered or not can be judged by only whether the identifier is lightened or not in this way, but important indexes such as integrity, format correctness and the like of the information cannot be judged in a more fine granularity mode, and therefore, the data verification efficiency may be low.

Disclosure of Invention

In view of the foregoing, it is necessary to provide a data verification method based on industrial identification and related devices, so as to solve the technical problem of low data verification efficiency. The related equipment comprises a data verification device based on industrial identification, electronic equipment and a storage medium.

The application provides a data verification method based on industrial identification, which comprises the following steps: acquiring an identification state of an industrial identification in a page, wherein the identification state comprises the lightened identification state; when the identification state is lighted, responding to the preset operation of the user on the industrial identification, and generating a data verification request; determining data to be verified corresponding to the industrial identifier according to the verification request; determining a first score of the data to be verified by analyzing the integrity of the data to be verified; when the first score is larger than or equal to a preset first threshold value, acquiring a plurality of candidate keywords recorded by the verification request; determining a verification level of the data to be verified, and determining a target keyword from the plurality of candidate keywords according to the verification level; determining verification content in the data to be verified according to the target keyword, and determining a second score corresponding to the verification content; and when the second score is the same as a preset second threshold value, determining that the data to be verified passes verification.

In some embodiments, the acquiring the identification status of the industrial identification in the page includes: acquiring a source code of the page by using a preset code query tool; determining format parameters corresponding to the industrial identification in the source code; when the format parameters are the same as the pre-stored standard parameters, determining that the identification state of the industrial identification is lighted; and when the format parameters are different from the pre-stored standard parameters, determining that the identification state of the industrial identification is unlit.

In some embodiments, the data to be verified comprises a plurality of sub-data, and the determining the first score of the data to be verified by analyzing the integrity of the data to be verified comprises: determining a first quantity of sub-data with null values in the data to be verified, and calculating a ratio between the first quantity and the total quantity of the sub-data to obtain an integrity score of the data to be verified; determining a first data type of each piece of sub data, and determining a second data type corresponding to a field to which each piece of sub data belongs; when the first data type is different from the second data type, determining that the sub data is format error data; calculating the ratio of the number of the sub-data with the format errors to the number of the plurality of sub-data to obtain the format score of the data to be verified; and calculating the average value of the integrity score and the format score to obtain the first score.

In some embodiments, the determining the verification level of the data to be verified, and determining the target keyword from the plurality of candidate keywords according to the verification level includes: calculating a first time difference between the current time and the time when the data to be verified is last verified; determining the latest update time of the data to be verified according to the update log of the data to be verified; calculating a second time difference between the current time and the most recent update time; determining the verification level according to the first time difference and the second time difference; and matching the corresponding target keywords from a pre-stored keyword class list according to the verification class, wherein the keyword class list is used for recording the corresponding relation between the verification class and the target keywords.

In some embodiments, the determining the level of verification from the first time difference and the second time difference comprises: when the first time difference is smaller than or equal to the second time difference, determining that the verification level is low; and when the first time difference is larger than the second time difference, determining that the verification level is high.

In some embodiments, when the verification level is low, the target keyword includes link verification and deadline verification, and determining verification content in the data to be verified according to the target keyword, and determining a second score corresponding to the verification content includes: determining a registration link and an expiration date of the data to be verified; determining the first registration time of the data to be verified according to the update log; determining the time difference between the current time and the first registration time as registration duration; and when the registered link is the same as the link of the page and the validity period is longer than the registered duration, determining that the second score is 1.

In some embodiments, when the verification level is advanced, the target keyword further includes version verification, determining verification content in the data to be verified according to the target keyword, and determining the second score corresponding to the verification content further includes: determining a plurality of time stamps in the update log, wherein each time stamp corresponds to updated content of the data to be verified; determining the update content corresponding to the timestamp which is closest to the current time in the update log as target update content; and when the data to be verified is the same as the updated content, the link is the same as the link of the page, the validity period is longer than the registration duration, and the second score is determined to be 1.

The embodiment of the application also provides a data verification device based on the industrial identification, which comprises: the system comprises an acquisition module, a display module and a display module, wherein the acquisition module is used for acquiring an identification state of an industrial identification in a page, and the identification state comprises a lightened state; the generation module is used for responding to the preset operation of the user on the industrial identifier when the identifier state is lighted, and generating a data verification request; the determining module is used for determining data to be verified corresponding to the industrial identifier according to the verification request; the determining module is further configured to determine a first score of the data to be verified by analyzing the integrity of the data to be verified; the determining module is further configured to obtain a plurality of candidate keywords recorded in the verification request when the first score is greater than or equal to a preset first threshold; the determining module is further used for determining the verification level of the data to be verified, and determining a target keyword from the plurality of candidate keywords according to the verification level; the determining module is further configured to determine verification content in the data to be verified according to the target keyword, and determine a second score corresponding to the verification content; and the determining module is further configured to determine that the data to be verified passes verification when the second score is the same as a preset second threshold.

The embodiment of the application also provides electronic equipment, which comprises: a memory storing at least one instruction; and the processor executes the instructions stored in the memory to realize the data verification method based on the industrial identification.

Embodiments of the present application also provide a computer-readable storage medium having at least one instruction stored therein, the at least one instruction being executed by a processor in an electronic device to implement the industrial identification-based data verification method.

According to the technical scheme, the identification state of the industrial identification is determined through the source code of the page, verification of the page content is not needed manually, and the data verification efficiency can be primarily improved; when the identification state is lighted, responding to the operation of a user, enabling the electronic equipment to generate a verification request, determining the verification level of the data to be verified according to the verification request, carrying out different verification operations on the data to be verified according to the verification level, and improving the efficiency of data verification while ensuring the accuracy of data verification.

Drawings

Fig. 1 is an application scenario diagram of an industrial identifier-based data verification method according to an embodiment of the present application.

Fig. 2 is a flowchart of a data verification method based on industrial identification according to an embodiment of the present application.

Fig. 3 is a flowchart of a method for determining an identification status according to an embodiment of the present application.

Fig. 4 is a flowchart of a method for determining a first score according to an embodiment of the present application.

Fig. 5 is a flowchart of a method for determining a target keyword according to an embodiment of the present application.

Fig. 6 is a flow chart of a method of determining a second score provided in an embodiment of the present application.

Fig. 7 is a flow chart of a method of determining a second score provided in another embodiment of the present application.

FIG. 8 is a schematic view of source code for a page provided in an embodiment of the present application.

Fig. 9 is a schematic diagram of format parameters provided in an embodiment of the present application.

Fig. 10 is a functional block diagram of an industrial identifier-based data verification device according to an embodiment of the present application.

Fig. 11 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

In order that the objects, features and advantages of the present application may be more clearly understood, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings. It should be noted that, without conflict, the embodiments of the present application and features of the embodiments may be combined with each other. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application, the described embodiments are merely some, rather than all, of the embodiments of the present application.

Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more of the described features. In the description of the present application, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the description of the application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. The term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.

The embodiment of the application provides a data verification method based on industrial identification, which can be applied to one or more electronic devices, wherein the electronic devices are devices capable of automatically performing numerical calculation and/or information processing according to preset or stored instructions, and the hardware comprises, but is not limited to, a microprocessor, an application specific integrated circuit (Application Specific Integrated Circuit, an ASIC), a programmable gate array (Field-Programmable Gate Array, an FPGA), a digital processor (Digital Signal Processor, a DSP), an embedded device and the like.

The electronic device may be any electronic product that can interact with a customer in a human-machine manner, such as a personal computer, tablet, smart phone, personal digital assistant (Personal Digital Assistant, PDA), gaming machine, interactive web television (Internet Protocol Television, IPTV), smart wearable device, etc.

The electronic device may also include a network device and/or a client device. Wherein the network device includes, but is not limited to, a single network server, a server group composed of a plurality of network servers, or a Cloud based Cloud Computing (Cloud Computing) composed of a large number of hosts or network servers.

The network in which the electronic device is located includes, but is not limited to, the internet, a wide area network, a metropolitan area network, a local area network, a virtual private network (Virtual Private Network, VPN), and the like.

As shown in fig. 1, the data verification method based on industrial identification provided in the present application may be applied to an electronic device 100, where the electronic device 100 is communicatively connected to a database 200, and is used for verifying data to be verified stored in the database 200.

Wherein the electronic device 100 comprises a display device 110, the display device 110 being adapted to present the industrial identification 111 to a user. The electronic device 100 generates a data verification request in response to a preset operation performed on the industrial identifier 111 by a user, and queries data to be verified associated with the industrial identifier 111 from the database 200 according to the data verification request, so as to verify the data to be verified.

The electronic device 100 may be a mobile phone or a mobile terminal, and the database 200 may be a data storage device in the mobile phone or the terminal, or an external storage device communicatively connected to the electronic device 100. The display device 100 may be a display of a cell phone or terminal and the industrial identification 111 may be a two-dimensional code, a bar code or a hyperlink in the display. When the industry identifier 111 is in the illuminated state, the user may click on the industry identifier 111, causing the electronic device 100 to generate a data verification request. For example, when the industry identifier 111 is associated with certain merchandise data in the database 200, the data verification request is used to characterize the need to verify the merchandise data. The electronic device 100 queries the data to be verified from the database 200 according to the data verification request, and verifies the data to be verified. And the efficiency of data verification based on the industrial identification can be improved without manually verifying the data.

FIG. 2 is a flow chart of a method for verifying data based on industrial identification according to an embodiment of the present application. The order of the steps in the flowchart may be changed and some steps may be omitted according to various needs. The data verification method based on the industrial identification comprises the following steps.

S20, acquiring the identification state of the industrial identification in the page.

In one embodiment of the present application, the industry identifier in the page is used to correlate the data to be verified. The page may be a front-end page (e.g., a commodity introduction page, a production line attribute page, etc.), and the industrial identifier may be a hyperlink, a two-dimensional code, or a bar code in the front-end page, which is not limited in this application.

In one embodiment of the present application, the identification status of the industrial identification is used to characterize whether the data to be verified has been registered. Wherein the identification status of the industrial identification includes a lit status and an unlit status. When the identification state is lighted, indicating that the data to be verified associated with the industrial identification is registered; when the identification state is unlit, indicating that the data to be verified associated with the industrial identification is not registered yet, outputting pre-stored early warning information, timely prompting the user of risk of information in the page, and timely registering the data in the page by operation and maintenance personnel.

For example, when the page is a merchandise display page and the industry identifier in the page is used to associate product information, when the industry identifier is in a lit state, it indicates that the product information has been registered; when the industry identification is in an unlit state, it indicates that the product information is not registered.

In an embodiment of the present application, in order to improve efficiency of judging an identification state of an industrial identification, the state of the industrial identification may be determined by analyzing a source code corresponding to a page. Specifically, please refer to the detailed description of fig. 3 for determining the identification status.

S21, when the identification state is lighted, responding to the preset operation of the user on the industrial identification, and generating a data verification request.

In an embodiment of the present application, when the identification status corresponding to the industrial identification is on, it indicates that the data to be verified associated with the industrial identification is registered, and whether the content of the data to be verified is compliant may be further verified.

In an embodiment of the present application, the preset operation performed by the user on the industrial identifier is used to send a requirement for checking whether the data to be verified is compliant to the electronic device. By way of example, the preset operation may be a user clicking on a hyperlink, scanning an industrial identification, etc., which is not limited in this application.

In an embodiment of the application, the electronic device generates a data verification request in response to a preset operation performed on the industrial identifier by a user. The data verification request accords with a preset communication protocol and comprises a request head and a request message. The request head is used for recording the network address of the electronic equipment and the storage address of the data to be verified; the request message is used for recording candidate keywords corresponding to the data to be verified. By way of example, the preset communication protocol may be a TCP protocol, a UDP protocol, an HTTP protocol, or the like, which is not limited in this application.

S22, determining the data to be verified corresponding to the industrial identifier according to the verification request.

In an embodiment of the present application, the verification request may be parsed according to a communication protocol corresponding to the verification request, so as to obtain a request header of the verification request, thereby obtaining a storage address of data to be verified recorded in the request header. For example, when the communication protocol corresponding to the authentication request is a TCP protocol, the data of 1 st byte to 60 th byte in the authentication request may be determined as a request header according to the format of the TCP protocol.

In an embodiment of the present application, after determining a storage address of data to be verified, a pre-written data query program may be run according to the storage address, and the data to be verified may be obtained from a database. The pre-written data query program may be a program written in any program language (e.g., python, SQL, etc.) having a data query function, which is not limited in this application.

S23, determining a first score of the data to be verified by analyzing the integrity of the data to be verified.

In an embodiment of the present application, after obtaining the data waiting for verification, the integrity score of the data waiting for verification may be determined by querying a null value in the data waiting for verification; and by inquiring the type of each item of data in the data to be verified, whether each item of data is the same as the data type of the field to which the data belongs can be determined, so that the format score of the data to be verified is determined.

In one embodiment of the present application, the integrity score and the format score are used to characterize whether the registered data to be verified has a format error. To improve the accuracy of determining the first score of the data to be verified, the first score of the data to be verified may be determined based on a combination of the integrity score and the format score.

In the application, when the first score is smaller than a preset first threshold value, the format errors of the data to be verified are more, so that the data to be verified can be determined to be non-compliant; when the first score is larger than or equal to the preset threshold value, the condition that the format errors of the data to be verified are fewer or are not present is indicated, whether the content of the data to be verified is correct or not can be further determined, and therefore accuracy of data verification is improved. Specifically, please refer to the detailed description of fig. 4 for determining the first score.

And S24, when the first score is greater than or equal to a preset first threshold value, acquiring a plurality of candidate keywords recorded by the verification request.

In an embodiment of the present application, when the first score is greater than or equal to a preset first threshold, it indicates that the data to be verified is less missing and the format is wrong. In order to further determine whether the content of the data to be verified is compliant, the verification request can be analyzed according to a communication protocol corresponding to the verification request, so as to obtain a request message in the verification request, wherein the request message is used for recording the corresponding candidate keywords. The method for parsing the verification request to obtain the request message is the same as the method for obtaining the request header in the verification request in step S22, and will not be described herein.

In an embodiment of the present application, the candidate keywords are used to characterize a specific verification requirement corresponding to the verification request. For example, the candidate keyword described in the authentication request may be link authentication, deadline authentication, version authentication, or the like. The link verification is used for representing whether the link of the data to be verified is identical with the link of the data registration to be verified or not; the term verification is used for representing whether the data to be verified currently exceeds the valid period or not, and if the current time exceeds the valid period of the data to be verified, the validity of the data to be verified is lower; the version verification is used for verifying whether the data to be verified accords with the update content in the update log, and when the data to be verified is different from the latest update content in the update log, the early warning information can be output if the condition that the data to be verified is tampered is determined.

S25, determining the verification level of the data to be verified, and determining a target keyword from the candidate keywords according to the verification level.

In an embodiment of the present application, in order to reduce the computing resources occupied in the data verification process, thereby improving the efficiency of data verification, the verification level corresponding to the data to be verified may be determined, and the target keyword may be determined from the candidate keywords according to the verification level of the data to be verified, so as to perform different verification operations on the data to be verified having different verification levels. Specifically, when the current time of the time interval when the data to be verified is verified last time is closer, the probability that the data to be verified passes verification recently is higher, the probability that the data to be verified is not compliant is smaller, so that the verification level of the data to be verified can be determined to be lower; when the time interval when the data to be verified is verified last time is longer, the probability that the data to be verified passes verification recently is lower, the probability that the data to be verified is not compliant is higher, and therefore the verification level of the data to be verified can be determined to be higher. Specifically, please refer to the detailed description of fig. 5 for determining the target keyword.

In an embodiment of the present application, the corresponding target keyword may be matched from a pre-stored keyword class list according to the verification class. The keyword level list is used for recording target keywords corresponding to different verification levels.

S26, determining verification content in the data to be verified according to the target keyword, and determining a second score corresponding to the verification content.

In an embodiment of the present application, each candidate keyword corresponds to different verification content, and is used for characterizing a requirement of verifying different information in the data to be verified. For example, the candidate keywords include link verification, deadline verification, version verification. The link verification is used for characterizing and evaluating whether the source of the data to be verified is an official source or not; the term verification is used for representing and evaluating the condition of the validity period of the data to be verified; version verification is used for representing and evaluating update logs of data to be verified, referring to update content of a latest log in the update logs, and determining whether current data to be verified is consistent with the update content, so that whether the data to be verified is tampered is judged.

In an embodiment of the present application, when the authentication level is low, the target keyword includes link authentication and deadline authentication. The registration link of the data to be verified can be queried from the database according to a pre-written link query script, and when the registration link of the data to be verified is inconsistent with the link of the page where the industrial identifier is located, the data to be verified corresponding to the industrial identifier can be determined to be tampered; inquiring the first registration time of the data to be verified, determining the time difference between the current time and the first registration time as registration duration, and determining that the data to be verified exceeds the validity period when the validity period is greater than or equal to the registration duration; and when the second scores are all 1, determining that the data to be verified passes verification. Specifically, when the verification level is low, the method for determining the second score is described in detail with reference to fig. 6.

In an embodiment of the present application, when the verification level is high, the target key further includes version verification. The version verification is used for characterizing the requirement of verifying the updated content of the data to be verified. Specifically, when the verification level is high, the method for determining the second score is shown in detail in fig. 7.

Therefore, different scoring operations are performed aiming at the data to be verified at different verification levels, so that data processing resources can be saved, and data verification efficiency is improved.

And S27, when the second score is the same as a preset threshold value, determining that the data to be verified passes verification.

In an embodiment of the present application, when the second score is the same as the preset threshold, it indicates that the data to be verified meets the verification requirement, and it may be determined that the data to be verified passes the verification. For example, when the preset threshold is 1, if the second score is 1, it indicates that the data to be verified passes verification.

Fig. 3 is a flowchart of a method for obtaining an identification status according to an embodiment of the present application. The order of the steps in the flowchart may be changed and some steps may be omitted according to various needs. The method for acquiring the identification state provided by the embodiment of the application comprises the following steps.

S30, acquiring the source code of the page by using a preset code query tool.

In an embodiment of the present application, the preset code query tool may be a program script with a code query function, or may be software with a code query function, which is not limited in this application. The preset code query tool is used for acquiring the source code of the page, and an exemplary diagram of the source code of the page is shown in fig. 8.

S31, determining format parameters corresponding to the industrial identification in the source code.

In an embodiment of the present application, format parameters corresponding to the industrial identifier may be determined in the source code according to a language specification corresponding to the source code. Wherein the format parameters are used to determine the status of the industrial identification (e.g., lit status and unlit status) displayed in the page. For example, as shown in fig. 9, when the source code is code written in the CSS language, format parameters corresponding to the industrial identifier may be determined in the source code according to a language specification corresponding to the CSS language. As shown in fig. 9, the content following < style type= "text/css" > = $0 is used to characterize the format parameter corresponding to the industry identifier.

And S32, when the format parameters are the same as the pre-stored standard parameters, determining that the identification state of the industrial identification is lighted.

In an embodiment of the present application, the pre-stored standard parameters are used to characterize format parameters corresponding to the industrial identifier in the on state. And when the format parameters in the source code are the same as the pre-stored standard parameters, indicating that the identification state corresponding to the industrial identification is lighted.

And S33, when the format parameters are different from the pre-stored standard parameters, determining that the identification state of the industrial identification is unlit.

In an embodiment of the present application, when the format parameter is different from the pre-stored standard parameter, it indicates that the identification state corresponding to the industrial identification is unlit. The data to be verified corresponding to the industrial identification is not registered yet, so that pre-stored early warning information (for example, early warning information in the form of text in a page) can be output, thereby prompting the user that the information corresponding to the industrial identification in the page is not registered.

Therefore, the identification state of the industrial identification is determined by analyzing the content of the source code corresponding to the page, and the page content is not required to be verified by manual visual observation, so that the data verification efficiency can be improved.

As shown in fig. 4, a flowchart of a method for determining a first score according to an embodiment of the present application is provided. The order of the steps in the flowchart may be changed and some steps may be omitted according to various needs. The method for determining the first score provided by the embodiment of the application comprises the following steps.

S40, determining the first quantity of the sub-data with the null value in the data to be verified, and calculating the ratio between the first quantity and the total quantity of the sub-data to obtain the integrity score of the data to be verified.

In an embodiment of the present application, the data to be verified includes a plurality of sub-data. For example, when the data to be verified is product data, the sub data may be a product name, a product ID, a place of origin corresponding to the product, or the like; when the data to be verified is attribute data of the automated production line, the sub data may be production line ID, production line capacity, etc.

In an embodiment of the present application, to evaluate whether the data to be verified is complete, a first number of sub-data with null values in the data to be verified may be determined. For example, when 3 sub-data in the data to be verified are null values, the first number is 3.

In an embodiment of the present application, a ratio between the first number and the total number of sub-data may be calculated, to obtain an integrity score of the data to be verified. Wherein the maximum value of the integrity score is 1, and the higher the integrity score is, the less data is missing in the data to be verified, and the higher the quality of the data to be verified is.

S41, determining a first data type of each piece of sub data, and determining a second data type corresponding to a field to which each piece of sub data belongs.

In an embodiment of the present application, different sub-data belong to different fields, for example, when the data to be verified is product data, a field corresponding to a product name is "product name", and a field corresponding to a product ID is "product ID". Each sub-data corresponds to a first data type, and each field to which the sub-data belongs corresponds to a second data type. The first data type is used for representing the data type of the sub data, and the second data type is used for representing the data type corresponding to all data in the field. For example, when the second data type corresponding to the field "product name" is a character string type, it is indicated that all data corresponding to the field should be character strings.

And S42, when the first data type is different from the second data type, determining that the sub data is format error data.

In an embodiment of the present application, for any one sub data, when the first data type is different from the second data type corresponding to the field to which the sub data belongs, which indicates that an error occurs in the format of the sub data, the sub data may be determined to be format error data. For example, when the second data type corresponding to the field "product name" is a string type and the first data type corresponding to the product name is an integer type, the sub data is format error data.

S43, calculating the ratio between the number of the sub-data with the format errors and the number of the plurality of sub-data to obtain the format score of the data to be verified.

In an embodiment of the present application, a ratio between the number of format error data and the number of sub data may be calculated to obtain a format score of the data to be verified. Wherein, the higher the format score, the fewer format errors of the data to be verified, and the higher the quality of the data to be verified.

And S44, calculating the average value of the integrity score and the format score to obtain the first score.

In an embodiment of the present application, to improve accuracy of evaluating quality of data to be verified, the first score of the data to be verified may be determined based on a combination of the integrity score and the format score. Wherein a higher first score indicates a higher quality of the data to be verified. Specifically, the average of the integrity score and the format score may be calculated to obtain a first score. For example, when the integrity score is 0.8 and the format score is 0.9, the first score is 0.85.

FIG. 5 is a flowchart of a method for determining a target keyword according to an embodiment of the present application. The order of the steps in the flowchart may be changed and some steps may be omitted according to various needs. The method for determining the target keywords comprises the following steps.

S50, calculating a first time difference between the current time and the last time the data to be verified is verified.

In an embodiment of the present application, when the first time difference between the time when the data to be verified is last verified and the current time is greater, it indicates that the data to be verified is not verified for a longer period of time, and the probability of error occurrence of the data to be verified is higher. For example, when the data to be verified is product data, if the first time difference between the time at which the product data was last verified and the current time is large, the product data may be updated during that period and not verified after the update, and the probability of occurrence of an error in the product data is high.

S51, determining the latest update time of the data to be verified according to the update log of the data to be verified.

In an embodiment of the present application, an update log of data to be verified is used to record an update record of the data to be verified, where the update log includes a plurality of time stamps, and each time stamp corresponds to one update content. Wherein a timestamp in the update log that is closest to the current time may be determined as the latest update time.

S52, calculating a second time difference between the current time and the latest update time.

In an embodiment of the present application, in order to evaluate the verification level corresponding to the data to be verified, a difference between the current time and the latest update time may be calculated, so as to obtain a second time difference. Wherein the unit of the second time difference is the same as the unit of the first time difference.

And S53, determining the verification level according to the first time difference and the second time difference.

In an embodiment of the present application, the determining the verification level according to the first time difference and the second time difference includes: when the first time difference is smaller than or equal to the second time difference, determining that the verification level is low; when the first time difference is greater than the second time difference, the verification level is determined to be high. Wherein, when the first time difference is smaller than or equal to the second time difference, indicating that the data to be verified has passed verification after the last update, the probability of occurrence of data errors (e.g., data missing) of the data to be verified is small, so that it can be determined that the verification level is low; when the first time difference is greater than the second time difference, it is indicated that the data to be verified has not been verified after the last update, and thus it can be determined that the verification level of the data to be verified is high.

As shown in fig. 6, a flowchart of a method for determining a second score according to an embodiment of the present application is provided. The order of the steps in the flowchart may be changed and some steps may be omitted according to various needs. The method for determining the second score provided by the embodiment of the application comprises the following steps.

S60, determining the link and the validity period of the data to be verified.

In an embodiment of the present application, when the authentication level is low, the target keyword includes link authentication and deadline authentication. The link verification is used for characterizing the requirement of verifying the registration link of the data to be verified. The registration link of the data to be verified can be queried from the database according to a pre-written link query script, and when the registration link of the data to be verified is inconsistent with the link of the page where the industrial identifier is located, the data to be verified corresponding to the industrial identifier is indicated to be tampered; the term verification is used for characterizing the requirement of verifying the validity period of the data to be verified.

S61, determining the first registration time of the data to be verified according to the update log.

In an embodiment of the present application, the update log is used to record an update record of the data to be verified, and a first registration time of the data to be verified between creation of the update log may be determined.

S62, determining the time difference between the current time and the first registration time as a registration duration.

And S63, when the links are the same as the links of the page and the validity period is longer than the registration duration, determining that the second score is 1.

In an embodiment of the present application, when the registered link of the data to be verified is the same as the link of the page, it indicates that the registered data to be verified is not tampered. And when the validity period is longer than the registration duration, determining that the data to be verified does not exceed the validity period. For example, when the validity period is 100 hours and the registration period is 20 hours, the data to be verified is registered and still within the validity period. It may thus be determined that the second scores are all 1 to characterize the data to be verified as verified. When the link between the data to be verified and the page is different, indicating that the registered data to be verified is not tampered; when the validity period is less than or equal to the registration period, and the data to be verified is determined to have exceeded the validity period, the second score may be determined to be 0.

Thus, when the verification level is low, whether the data to be verified is compliant (whether the data to be verified is within the validity period and tampered) is judged based on the registration link and the validity period of the data to be verified, and the second score is set to be a boolean value (i.e., 0 or 1), so that the verification result can be represented in a quantized manner, and the efficiency of data verification can be improved.

As shown in fig. 7, a flowchart of a method for determining a second score according to another embodiment of the present application is provided. The order of the steps in the flowchart may be changed and some steps may be omitted according to various needs. The method for determining the second score provided by the embodiment of the application comprises the following steps.

S70, determining a plurality of time stamps in the update log, wherein each time stamp corresponds to the update content of the data to be verified.

In an embodiment of the present application, the update log is used for recording update contents of data to be verified, and the update log includes a plurality of timestamps. Wherein each timestamp corresponds to a piece of updated content. The updated content is used for representing the content of the data to be verified, which is changed at the moment corresponding to the time stamp.

S71, determining the update content corresponding to the time stamp which is closest to the current time in the update log as the target update content.

In an embodiment of the present application, a timestamp in the update log, which is closest to the current time, is determined as a timestamp of the last update, and the update content corresponding to the timestamp may be determined as the target update content. The target updated content is used for representing the content of the latest update of the data to be verified.

And S72, when the data to be verified is the same as the updated content, the registration link is the same as the link of the page, the validity period is longer than the registration duration, and the second score is determined to be 1.

In an embodiment of the present application, when the data to be verified is the same as the updated content, which indicates that no data error (for example, data missing, data format error, etc.) occurs in the last update of the data to be verified, when the registration link is the same as the link of the page and the validity period is greater than the registration duration, the second score is determined to be 1.

Referring to fig. 10, fig. 10 is a functional block diagram of an industrial identifier-based data verification device according to an embodiment of the present application. The industrial identification-based data verification device 11 includes an acquisition module 110, a generation module 111, and a determination module 112. The module/unit referred to herein is a series of computer readable instructions capable of being executed by the processor 13 and of performing a fixed function, stored in the memory 12. In the present embodiment, the functions of the respective modules/units will be described in detail in the following embodiments.

The obtaining module 110 is configured to obtain an identification status of an industrial identification in a page, where the identification status includes a lit status.

The generating module 111 is configured to generate a data verification request in response to a preset operation performed on the industrial identifier by a user when the identifier status is on.

The determining module 112 is configured to determine, according to the verification request, data to be verified corresponding to the industrial identifier.

The determining module 112 is further configured to determine a first score of the data to be verified by analyzing the integrity of the data to be verified.

The determining module 112 is further configured to obtain a plurality of candidate keywords recorded in the verification request when the first score is greater than or equal to a preset first threshold.

The determining module 112 is further configured to determine a verification level of the data to be verified, and determine a target keyword from the plurality of candidate keywords according to the verification level.

The determining module 112 is further configured to determine verification content in the data to be verified according to the target keyword, and determine a second score corresponding to the verification content.

The determining module 112 is further configured to determine that the data to be verified passes verification when the second score is the same as a preset second threshold.

In some embodiments, the obtaining module 110 is specifically configured to: acquiring a source code of the page by using a preset code query tool; determining format parameters corresponding to the industrial identification in the source code; when the format parameters are the same as the pre-stored standard parameters, determining that the identification state of the industrial identification is lighted; and when the format parameters are different from the pre-stored standard parameters, determining that the identification state of the industrial identification is unlit.

In some embodiments, the determining module 112 is specifically configured to: determining a first quantity of sub-data with null values in the data to be verified, and calculating a ratio between the first quantity and the total quantity of the sub-data to obtain an integrity score of the data to be verified; determining a first data type of each piece of sub data, and determining a second data type corresponding to a field to which each piece of sub data belongs; when the first data type is different from the second data type, determining that the sub data is format error data; calculating the ratio of the number of the sub-data with the format errors to the number of the plurality of sub-data to obtain the format score of the data to be verified; and calculating the average value of the integrity score and the format score to obtain the first score.

In some embodiments, the determining module 112 is specifically configured to: calculating a first time difference between the current time and the time when the data to be verified is last verified; determining the latest update time of the data to be verified according to the update log of the data to be verified; calculating a second time difference between the current time and the most recent update time; determining the verification level according to the first time difference and the second time difference; and matching the corresponding target keywords from a pre-stored keyword class list according to the verification class, wherein the keyword class list is used for recording the corresponding relation between the verification class and the target keywords.

In some embodiments, the determining module 112 is specifically configured to: when the first time difference is smaller than or equal to the second time difference, determining that the verification level is low; and when the first time difference is larger than the second time difference, determining that the verification level is high.

In some embodiments, when the verification level is low, the target keyword includes link verification and deadline verification, the determining module 112 determines verification content in the data to be verified according to the target keyword, and determining the second score corresponding to the verification content includes: determining a registration link and an expiration date of the data to be verified; determining the first registration time of the data to be verified according to the update log; determining the time difference between the current time and the first registration time as registration duration; and when the registered link is the same as the link of the page and the validity period is longer than the registered duration, determining that the second score is 1.

In some embodiments, when the verification level is high-level, the target keyword further includes version verification, the determining module 112 determines verification content in the data to be verified according to the target keyword, and determining the second score corresponding to the verification content further includes: determining a plurality of time stamps in the update log, wherein each time stamp corresponds to updated content of the data to be verified; determining the update content corresponding to the timestamp which is closest to the current time in the update log as target update content; and when the data to be verified is the same as the updated content, the link is the same as the link of the page, the validity period is longer than the registration duration, and the second score is determined to be 1.

Fig. 11 is a schematic structural diagram of an electronic device according to an embodiment of the present application. The electronic device 1 comprises a memory 12 and a processor 13. The memory 12 is configured to store computer readable instructions and the processor 13 is configured to execute the computer readable instructions stored in the memory to implement the industrial identification-based data verification method according to any of the above embodiments.

In an embodiment of the present application the electronic device 1 further comprises a bus, a computer program stored in said memory 12 and executable on said processor 13, such as a data verification program based on an industrial identification.

Fig. 11 shows only an electronic device 1 with a memory 12 and a processor 13, it being understood by a person skilled in the art that the structure shown in fig. 11 does not constitute a limitation of the electronic device 1, and may comprise fewer or more components than shown, or may combine certain components, or a different arrangement of components.

In connection with fig. 2, the memory 12 in the electronic device 1 stores a plurality of computer readable instructions to implement a data verification method based on an industrial identification, the processor 13 being executable to implement: acquiring an identification state of an industrial identification in a page, wherein the identification state comprises the lightened identification state; when the identification state is lighted, responding to the preset operation of the user on the industrial identification, and generating a data verification request; determining data to be verified corresponding to the industrial identifier according to the verification request; determining a first score of the data to be verified by analyzing the integrity of the data to be verified; when the first score is larger than or equal to a preset first threshold value, acquiring a plurality of candidate keywords recorded by the verification request; determining a verification level of the data to be verified, and determining a target keyword from the plurality of candidate keywords according to the verification level; determining verification content in the data to be verified according to the target keyword, and determining a second score corresponding to the verification content; and when the second score is the same as a preset second threshold value, determining that the data to be verified passes verification.

Specifically, the specific implementation method of the above instructions by the processor 13 may refer to the description of the relevant steps in the corresponding embodiment of fig. 2, which is not repeated herein.

It will be appreciated by those skilled in the art that the schematic diagram is merely an example of the electronic device 1 and does not constitute a limitation of the electronic device 1, the electronic device 1 may be a bus type structure, a star type structure, the electronic device 1 may further comprise more or less other hardware or software than illustrated, or a different arrangement of components, e.g. the electronic device 1 may further comprise an input-output device, a network access device, etc.

It should be noted that the electronic device 1 is only used as an example, and other electronic products that may be present in the present application or may be present in the future are also included in the scope of the present application and are incorporated herein by reference.

The memory 12 includes at least one type of readable storage medium, which may be non-volatile or volatile. The readable storage medium includes flash memory, a removable hard disk, a multimedia card, a card type memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. The memory 12 may in some embodiments be an internal storage unit of the electronic device 1, such as a mobile hard disk of the electronic device 1. The memory 12 may in other embodiments also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the electronic device 1. The memory 12 may be used not only for storing application software installed in the electronic device 1 and various types of data, such as codes of data verification programs based on industrial identification, etc., but also for temporarily storing data that has been output or is to be output.

The processor 13 may be comprised of integrated circuits in some embodiments, for example, a single packaged integrated circuit, or may be comprised of multiple integrated circuits packaged with the same or different functions, including one or more central processing units (Central Processing unit, CPU), microprocessors, digital processing chips, graphics processors, a combination of various control chips, and the like. The processor 13 is a Control Unit (Control Unit) of the electronic device 1, connects the respective components of the entire electronic device 1 using various interfaces and lines, and executes various functions of the electronic device 1 and processes data by running or executing programs or modules stored in the memory 12 (for example, executing a data verification program based on an industrial identification, etc.), and calling data stored in the memory 12.

The processor 13 executes the operating system of the electronic device 1 and various types of applications installed. The processor 13 executes the application program to implement the steps of the various embodiments of the data verification method based on industrial identification described above, such as the steps shown in fig. 2.

Illustratively, the computer program may be partitioned into one or more modules/units that are stored in the memory 12 and executed by the processor 13 to complete the present application. The one or more modules/units may be a series of computer readable instruction segments capable of performing the specified functions, which instruction segments describe the execution of the computer program in the electronic device 1. For example, the computer program may be divided into an acquisition module 110, a generation module 111 and a determination module 112.

The integrated units implemented in the form of software functional modules described above may be stored in a computer readable storage medium. The software functional modules described above are stored in a storage medium and include instructions for causing a computer device (which may be a personal computer, a computer device, or a network device, etc.) or Processor (Processor) to perform portions of the industrial identification-based data verification methods described in various embodiments of the present application.

The integrated modules/units of the electronic device 1 may be stored in a computer readable storage medium if implemented in the form of software functional units and sold or used as a stand alone product. Based on such understanding, the present application may implement all or part of the flow of the method of the above embodiment, or may be implemented by instructing the relevant hardware device by a computer program, where the computer program may be stored in a computer readable storage medium, and the computer program may implement the steps of each method embodiment described above when executed by a processor.

Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory, other memories, and the like.

Further, the computer-readable storage medium may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created from the use of blockchain nodes, and the like.

The bus may be a peripheral component interconnect standard (Peripheral Component Interconnect, PCI) bus or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. For ease of illustration, only one arrow is shown in FIG. 11, but only one bus or one type of bus is not shown. The bus is arranged to enable a connection communication between the memory 12 and at least one processor 13 or the like.

The present application further provides a computer readable storage medium (not shown), in which computer readable instructions are stored, the computer readable instructions being executed by a processor in an electronic device to implement the data verification method based on industrial identification according to any one of the above embodiments.

In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be other manners of division when actually implemented.

The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

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

Furthermore, it is evident that the word "comprising" does not exclude other elements or steps, and that the singular does not exclude a plurality. Several of the elements or devices described in the specification may be embodied by one and the same item of software or hardware. The terms first, second, etc. are used to denote a name, but not any particular order.

Finally, it should be noted that the above embodiments are merely for illustrating the technical solution of the present application and not for limiting, and although the present application has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present application may be modified or substituted without departing from the spirit and scope of the technical solution of the present application.

Claims

1. A data verification method based on industrial identification, applied to electronic equipment, characterized in that the method comprises the following steps:

acquiring an identification state of an industrial identification in a page, wherein the identification state comprises the lightened identification state;

when the identification state is lighted, responding to the preset operation of the user on the industrial identification, and generating a data verification request;

determining data to be verified corresponding to the industrial identifier according to the verification request;

determining a first score of the data to be verified by analyzing the integrity of the data to be verified;

when the first score is larger than or equal to a preset first threshold value, acquiring a plurality of candidate keywords recorded by the verification request;

determining the verification level of the data to be verified, and determining a target keyword from the candidate keywords according to the verification level, wherein the method comprises the following steps: calculating a first time difference between the current time and the time when the data to be verified is last verified; determining the latest update time of the data to be verified according to the update log of the data to be verified; calculating a second time difference between the current time and the most recent update time; determining that the verification level is low when the first time difference is less than or equal to the second time difference; determining that the verification level is advanced when the first time difference is greater than the second time difference; matching corresponding target keywords from a pre-stored keyword class list according to the verification class, wherein the keyword class list is used for recording the corresponding relation between the verification class and the target keywords;

Determining verification content in the data to be verified according to the target keyword, and determining a second score corresponding to the verification content;

and when the second score is the same as a preset second threshold value, determining that the data to be verified passes verification.

2. The method for verifying industrial identifier-based data as defined in claim 1, wherein the acquiring the identification status of the industrial identifier in the page comprises:

acquiring a source code of the page by using a preset code query tool;

determining format parameters corresponding to the industrial identification in the source code;

when the format parameters are the same as the pre-stored standard parameters, determining that the identification state of the industrial identification is lighted;

and when the format parameters are different from the pre-stored standard parameters, determining that the identification state of the industrial identification is unlit.

3. The method of claim 1, wherein the data to be verified comprises a plurality of sub-data, and wherein determining the first score for the data to be verified by analyzing the integrity of the data to be verified comprises:

determining a first quantity of sub-data with null values in the data to be verified, and calculating a ratio between the first quantity and the total quantity of the sub-data to obtain an integrity score of the data to be verified;

Determining a first data type of each piece of sub data, and determining a second data type corresponding to a field to which each piece of sub data belongs;

when the first data type is different from the second data type, determining that the sub data is format error data;

calculating the ratio of the number of the sub-data with the format errors to the number of the plurality of sub-data to obtain the format score of the data to be verified;

and calculating the average value of the integrity score and the format score to obtain the first score.

4. The method for verifying data based on an industrial identification of claim 1, wherein when the verification level is low, the target keyword includes link verification and deadline verification, the determining verification content in the data to be verified according to the target keyword, and determining a second score corresponding to the verification content includes:

determining a registration link and an expiration date of the data to be verified;

determining the first registration time of the data to be verified according to the update log;

determining the time difference between the current time and the first registration time as registration duration;

and when the registered link is the same as the link of the page and the validity period is longer than the registered duration, determining that the second score is 1.

5. The method for verifying industrial identification-based data as set forth in claim 4, wherein when the verification level is advanced, the target keyword further comprises version verification, the determining verification content in the data to be verified according to the target keyword, and determining the second score corresponding to the verification content further comprises:

determining a plurality of time stamps in the update log, wherein each time stamp corresponds to updated content of the data to be verified;

determining the update content corresponding to the timestamp which is closest to the current time in the update log as target update content;

and when the data to be verified is the same as the updated content, the link is the same as the link of the page, the validity period is longer than the registration duration, and the second score is determined to be 1.

6. An industrial identity based data verification apparatus, characterized in that the apparatus comprises a module implementing the industrial identity based data verification method according to any one of claims 1 to 5, the apparatus comprising:

the system comprises an acquisition module, a display module and a display module, wherein the acquisition module is used for acquiring an identification state of an industrial identification in a page, and the identification state comprises a lightened state;

The generation module is used for responding to the preset operation of the user on the industrial identifier when the identifier state is lighted, and generating a data verification request;

the determining module is used for determining data to be verified corresponding to the industrial identifier according to the verification request;

the determining module is further configured to determine a first score of the data to be verified by analyzing the integrity of the data to be verified;

the determining module is further configured to obtain a plurality of candidate keywords recorded in the verification request when the first score is greater than or equal to a preset first threshold;

the determining module is further configured to determine a verification level of the data to be verified, and determine a target keyword from the plurality of candidate keywords according to the verification level, where the determining module includes: calculating a first time difference between the current time and the time when the data to be verified is last verified; determining the latest update time of the data to be verified according to the update log of the data to be verified; calculating a second time difference between the current time and the most recent update time; determining that the verification level is low when the first time difference is less than or equal to the second time difference; determining that the verification level is advanced when the first time difference is greater than the second time difference; matching corresponding target keywords from a pre-stored keyword class list according to the verification class, wherein the keyword class list is used for recording the corresponding relation between the verification class and the target keywords;

The determining module is further configured to determine verification content in the data to be verified according to the target keyword, and determine a second score corresponding to the verification content;

and the determining module is further configured to determine that the data to be verified passes verification when the second score is the same as a preset second threshold.

7. An electronic device, the electronic device comprising:

a memory storing computer readable instructions; a kind of electronic device with high-pressure air-conditioning system

A processor executing computer readable instructions stored in the memory to implement the industrial identification-based data verification method of any one of claims 1 to 5.

8. A computer readable storage medium having computer readable instructions stored thereon, which when executed by a processor, implement the industrial identity based data verification method of any one of claims 1 to 5.