A data processing method, device and medium for monitoring abnormal nodes in text

Abstract

The present invention provides a data processing method based on a target text. By obtaining the target text and a list of information of the target data set, the state of the data in the target data set is judged, and the text of the target data set is compared with the target text to judge whether the target data set can be executed. When the target data set is in a pending state, the target data set is run. When the target data set is judged to be non-executable, the state of the target data set is converted to a non-working state, and a prompt signal is sent. Moreover, the process and result of judging whether the target data set can be executed are obtained and stored in a specified node record set. Therefore, it is avoided that the target data set is executed when it cannot be executed, and the wrong operation not based on the target text is avoided, improving the time efficiency. And the judgment process and execution result can be traced back through the specified node record set, avoiding the influence of the wrong judgment process on the target platform.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a data processing method, an electronic device, and a storage medium for monitoring abnormal nodes of text. Background Art

[0002] In the prior art, when setting up a computing contract, the roles of each platform are agreed upon through the computing contract. Usually, only the audit platform is set up to audit whether each platform executes the contract content, and the audit records of the audit platform are used to trace back and audit the process of each platform executing the computing contract.

[0003] Problems existing in the prior art: Detecting the computing process only through the audit platform may cause a certain platform to be more likely to tamper with the computing process, resulting in a more complex process of tracing back the running process of the computing contract and reducing the time efficiency. Therefore, there is an urgent need to develop a more accurate method for auditing computing contracts. Summary of the Invention

[0004] In view of the above technical problems, the technical solution adopted by the present invention is as follows:

[0005] A data processing method for monitoring abnormal nodes based on a target text, comprising the following steps:

[0006] S100. Obtain a target text A 0 ={A 0 1, ……, A 0 i , ……, A 0 m}}, A 0 i ={A 0 i1 , ……, A 0 ij , ……, A 0 ini}}, A 0 ij is the j-th target sub-text of the i-th target platform corresponding to A 0 , where the value of j ranges from 1 to ni, and ni is the number of target sub-texts corresponding to A 0 i , and the value of i ranges from 1 to m, and m is the number of participating parties corresponding to A 0 .

[0007] S200. According to A 0 , obtain a target node set B = {B1, ……, B i , ……, B m}}, B i ={B i1, ……, B ir , ……, B isi},B ir is the r-th target node in the i-th target node list, where r ranges from 1 to si, and si is the number of corresponding target nodes of B i The number of corresponding target nodes.

[0008] S300. Obtain the target data set information list C = {C1, ……, C x , ……, C p} provided by the target data providing platform, where C x =(GC x , QC x , WC x ), GC x is the x-th target data set ID, QC x is the target identifier corresponding to GC x , WC x is the target data set text corresponding to GC x , and x ranges from 1 to p, where p is the number of target data sets. The target identifier is used to characterize the status of the target data set.

[0009] S400. When it is detected that there is a target identifier in C that is the second target identifier, obtain the key data set information list C' x =(GC' x , QC' x , WC' x ), where GC' x is the x-th key data set ID, QC' x is the key identifier corresponding to GC' x , WC' x is the key data set text corresponding to GC' x , and the second identifier is used to characterize that the key data set is in a pending processing state.

[0010] S500. Process WC' x and A 0 to obtain the key output value list D = {D1, ……, D i , ……, D m}, where D i is the i-th key output value.

[0011] S600. When all the key output values in the key output value list are the first key output value, update QC' x from the second target identifier to the first target identifier. The first target identifier is used to characterize that the key data set is in a non-working state.

[0012] S700. When there is at least one second key output value in the list of key output values, QC' x is updated from the second target identifier to the third target identifier, and a prompt signal is sent. The third target identifier is used to represent that the key data set is in a working state.

[0013] S800. According to B and D, the key data set corresponding to the third target identifier is processed by the target data processing platform to obtain the specified node record set B' = {B'1,..., B' i ,..., B' m}, B' i = {B' i1 ,..., B' ir ,..., B' isi}, B' ir = (B' 0 ir , GB' 0 ir , RB' 0 ir ), B' 0 ir is the r-th specified node ID in the i-th specified node list, GB' 0 ir is the specified process log corresponding to B' 0 ir , and RB' 0 ir is the specified execution result corresponding to B' 0 ir .

[0014] The present invention has at least the following beneficial effects:

[0015] (1) By obtaining the initial text, then judging the initial text to obtain the initial authentication result list, and then judging the initial authentication result. When all the initial authentication results in the initial authentication result list are the second authentication results, that is, when all the target participating platforms agree to the initial sub-text in the initial text, the corresponding initial text is used as the target text. When there is a first authentication result in the initial authentication result list, that is, when a target participant disagrees with a certain initial sub-text, the initial text is changed until all the initial authentication results in the initial authentication result list are the second authentication results. Therefore, it avoids objections from the target platform to the target sub-text in the subsequent process, thus eliminating the need for re-formulation, and improves the time efficiency.

[0016] (2) By obtaining the target text and the list of information of the target dataset, the status of the data in the target dataset is judged, and the text of the target dataset is compared with the target text to judge whether the target dataset can be executed. When the target dataset is in the pending state, the target dataset is run. When the target dataset is judged to be non-executable, the status of the target dataset is converted to a non-working state, and a prompt signal is sent. In addition, the process and result of judging whether the target dataset can be executed are obtained and stored in the specified node record set. Therefore, it is avoided to execute the target dataset when it cannot be executed, and the wrong operation not based on the target text is avoided, improving the time efficiency. Moreover, the judgment process and the execution result can be traced back through the specified node record set, avoiding the influence of the wrong judgment process on the target platform. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings required for the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention, and those of ordinary skill in the art can also obtain other drawings based on these drawings without creative efforts.

[0018] Figure 1 It is a schematic flowchart of a data processing method based on a target text provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0019] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, rather than all of them. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the scope of protection of the present invention.

[0020] The present invention provides a data processing method for monitoring abnormal nodes based on a target text, and the method includes the following steps:

[0021] S100. Obtain the target text A 0 ={A 0 1, ……, A 0 i , ……, A 0 m}, A 0 i ={A 0 i1 , ……, A 0 ij , ……, A 0 ini}, A0 ij For A 0 The j-th target sub-text of the i-th target platform corresponding thereto, where j ranges from 1 to ni, and ni is A 0 i The number of target sub-texts corresponding thereto, where i ranges from 1 to m, and m is A 0 The number of participating parties corresponding thereto.

[0022] Specifically, S100 further includes the following steps to obtain A 0 :

[0023] S110. Obtain the target platform list F = {F1,..., F i ,..., F m}, F i = (F 0 i , LF 0 i , ZF 0 i ), F 0 i is the i-th target platform ID, LF 0 i is the target platform type corresponding to F 0 i and ZF 0 i is the target platform account information corresponding to F 0 i .

[0024] Specifically, the target platform ID is the unique identifier of the target participant.

[0025] Furthermore, the account information of the target platform includes: the target platform username and the password corresponding to the target platform username, and the password corresponding to the target platform username is set by the target platform.

[0026] S130. Obtain the k-th initial text A k = {A k 1,..., A k i ,..., A k m}, A k i = {A k i1 ,..., A k iy ,..., A k iqi}, A k iyis the y-th initial sub-text corresponding to the i-th target participant, where y ranges from 1 to qi, and qi is the number of initial sub-texts corresponding to A i The initial value of k is 1, where qi is the number of corresponding initial sub-texts of A

[0027] Specifically, the k-th initial text can be understood as the k-th version of the initial text formulated

[0028] Furthermore, in the embodiment of the present invention, qi = ni can be understood as that the number of initial sub-texts corresponding to the initial text is the same as the number of target sub-texts corresponding to the target text

[0029] Furthermore, in the embodiment of the present application, A k ! = A k+1 can be understood as that A k and the initial sub-text corresponding to A k+1 are not in exactly the same state

[0030] S150. Obtain the k-th initial authentication result list G k iy ={G k 1, ……, G k 1, ……, G k i , ……, G k m}, where G k i is the initial authentication result corresponding to the i-th target platform

[0031] Specifically, the following steps are also included in S150 to obtain G k :

[0032] S151. Obtain the target authentication method IDF' = {F'1, ……, F' i , ……, F' m} corresponding to the target platform according to F, where F' i is the target authentication method ID corresponding to the i-th target platform

[0033] S153. Authenticate A i based on the authentication method corresponding to F' k to obtain G k .

[0034] S170. When any G i is the first authentication result, set k = k + 1 and execute S130

[0035] Specifically, in the embodiment of the present invention, the first authentication result is that the authentication of the target platform fails

[0036] S190. When Gk When all the initial authentication results are the second authentication results, G k corresponding A k is used as the target text A 0 .

[0037] Specifically, in the embodiment of the present invention, the second review result is that the authentication of the target platform is passed.

[0038] As described above, S110-S190 obtain the initial text, then judge the initial text to obtain the initial authentication result list, and then judge the initial authentication results. When all the initial authentication results in the initial authentication result list are the second authentication results, that is, when all the target participating platforms agree to the initial sub-text in the initial text, the corresponding initial text is used as the target text. When there is a first authentication result in the initial authentication result list, that is, when a target participant disagrees with a certain initial sub-text, the initial text is changed until all the initial authentication results in the initial authentication result list are the second authentication results. Therefore, it avoids objections from the target platform to the target sub-text in the subsequent process, thus eliminating the need for re-formulation and improving the time efficiency.

[0039] S200. According to A 0 , obtain the target node set B = {B1,..., B i ,..., B m}, B i = {B i1 ,..., B ir ,..., B isi}, B ir is the r-th target node in the i-th target node list, and the value of r ranges from 1 to si, where si is the number of target nodes corresponding to B i .

[0040] Specifically, in the embodiment of the present invention, those skilled in the art know that any method of arranging corresponding target nodes according to the target platform falls within the protection scope of the present invention, and will not be elaborated here.

[0041] Furthermore, in the embodiment of the present invention, s1 =... = si =... = sm, which can be understood as that the number of target nodes corresponding to any target platform is the same.

[0042] S300. Obtain the target data set information list C = {C1,..., C x ,..., C p} provided by the target data providing platform, C x = (GC x , QC x , WC x ), GC xis the ID of the x-th target data set, QC x is GC x The corresponding target identifier, WC x is GC x The corresponding target data set text, where x ranges from 1 to p, and p is the number of target data sets. The target identifier is used to characterize the status of the target data set.

[0043] Specifically, those skilled in the art can set the data format corresponding to the target data set according to actual needs, which will not be elaborated here.

[0044] Furthermore, in the embodiments of the present invention, any target identifier is initially the first target identifier.

[0045] S400. When it is detected that there is a target identifier of the second target identifier in C, obtain the key data set information list C' corresponding to the second target identifier x =(GC' x , QC' x , WC' x ), where GC' x is the ID of the x-th key data set, QC' x is GC' x The corresponding key identifier, WC' x is GC' x The corresponding key data set text, and the second identifier is used to characterize that the key data set is in a to-be-processed state.

[0046] S500. Process WC' x and A 0 , and obtain the key output value list D = {D1,..., D i ,..., D m} based on B, where D i is the i-th key output value.

[0047] Specifically, in S500, the following steps are also included to obtain D i :

[0048] S510. Perform vectorization processing on A 0 , and obtain the target sub-text feature vector set T 0 i corresponding to A 0 ={T 0 1,..., T 0 i ,..., T 0 m}, where T 0 i ={T 0 i1 ,..., T0 ij , ……, T 0 ini}, T 0 ij is the j-th target sub-text feature vector corresponding to the i-th list of target sub-text feature vectors.

[0049] Specifically, those skilled in the art know that any method of vectorizing the target text to obtain the set of target sub-text feature vectors falls within the protection scope of the present invention and will not be elaborated herein.

[0050] S520. Vectorize WC′ x to obtain the list of key data set operation feature vectors T′ x corresponding to WC′ x ={T′ x1 , ……, T′ xi , ……, T′ xm}, T′ xi ={T′ xi1 , ……, T′ xig , ……, TC′ xizi}, T′ xig is the g-th key data set operation feature vector corresponding to the i-th list of key data set operation feature vectors, where g ranges from 1 to zi, and zi is the number of key data set operation feature vectors corresponding to the i-th list of key data set operation feature vectors.

[0051] Specifically, those skilled in the art know that any method of vectorizing the key data set text to obtain the key data set operation feature vectors falls within the protection scope of the present invention and will not be elaborated herein.

[0052] Furthermore, zi < ni.

[0053] S530. The target data review platform compares T′ x with T 0 to obtain the target review information set P′ x corresponding to T′ x ={P′ x1 , ……, P′ xi , ……, P′ xm}, P′ xi =(GP′ xi , DP′ xi ), where GP′ xi is the comparison process text between the i-th target platform's target sub-text feature list and the i-th key data set operation feature list, and DP′ xiis the target comparison output value of the target sub - text feature list corresponding to the i - th target platform and the i - th key data set operation feature list.

[0054] S540. Store P′ x simultaneously into the m target nodes corresponding to the m target platforms.

[0055] S550. When DP′ xr meets the preset comparison condition, take D i as the second key comparison output value; otherwise, take D i as the first key comparison output value.

[0056] As mentioned above, S510 - S550 obtain the target audit information, store the target audit information simultaneously into the m target nodes, and process according to the comparison result corresponding to the target audit information to obtain the target comparison output value. And the obtained target audit information will be uploaded to the target nodes simultaneously. Therefore, it avoids the abnormality of the target audit information caused by any target participant modifying the target audit information, and improves the accuracy of the target audit information.

[0057] S500. Process WC′ x and A 0 to obtain the key output value list D = {D1, ……, D i , ……, D m} based on B, where D i is the i - th key output value.

[0058] S600. When all the key output values in the key output value list are the first key output values, update QC′ x from the second target identifier to the first target identifier, and the first target identifier is used to represent that the key data set is in a non - working state.

[0059] Specifically, the prompt signal is an execution exception prompt signal. It can be understood that when the data in the target data set cannot be processed, a prompt signal is sent.

[0060] S700. When there is at least one second key output value in the key output value list, update QC′ x from the second target identifier to the third target identifier, and send a prompt signal. The third target identifier is used to represent that the key data set is in a working state.

[0061] S800. According to B and D, process the key data set corresponding to the third target identifier through the target data processing platform to obtain the specified node record set B′ = {B′1, ……, B′ i , ……, B′ m}, B′i = {B' i1 , ……, B' ir , ……, B' isi}, B' ir = (B' 0 ir , GB' 0 ir , RB' 0 ir ), B' 0 ir is the r-th specified node ID in the i-th specified node list, GB' 0 ir is the specified process log corresponding to B' 0 ir , RB' 0 ir is the specified execution result corresponding to B' 0 ir

[0062] Specifically, the specified process log is associated with the target participant. GB' 0 1r ≠……≠GB' 0 ir ≠……GB' 0 mr , which can be understood that the specified nodes corresponding to the target participant only record the specified process logs associated with the target participant, and the target participant cannot view the specified process logs of other target participants except itself.

[0063] As described above, S100 - S800 obtain the target text and the list of target dataset information, thereby judging the status of the data in the target dataset, comparing the target dataset text with the target text, thereby judging whether the target dataset can be executed. When the target dataset is in the pending state, the target dataset is run. When the target dataset is judged to be non - executable, the status of the target dataset is converted to the non - working state, and a prompt signal is sent, and the process and result of judging whether the target dataset can be executed are obtained and stored in the specified node record set. Therefore, it is avoided to execute the target dataset when it cannot be executed, avoiding incorrect operations not based on the target text, improving time efficiency, and the process of judgment and the execution result can be traced back through the specified node record set, avoiding the influence of the incorrect judgment process on the target platform.

[0064] Furthermore, in the embodiment of the present invention, the target platform not only includes: the target data providing platform, the target data processing platform, and the target data auditing platform, but also includes: the target data visualization platform and the target data using platform; ​

[0065] Further, the target data visualization platform provides a visualization platform for displaying the target text, changing the target text, and viewing the target output value; the target data providing platform is used to upload the target data set corresponding to the data format specified in the target text to a specified location; the target data processing platform is used to process the target data set using the model specified in the target text and obtain a processing result when the target label corresponding to the target data set is the third target label; the target data auditing platform is used to audit the model specified in the target text, the processing result obtained by processing the target data set using the model specified in the target text when the target label corresponding to the target data set is the third target label, and whether each platform processes the target data set according to the target text; the target data using platform is used to use the processing result obtained by processing the target data set using the model specified in the target text when the target label corresponding to the target data set is the third target label and is audited and approved by the auditing party.

[0066] Further, the platform party provides a visualization platform for displaying the target text, changing the target text, and viewing the target output value; the data providing party is used to upload the target data set corresponding to the data format specified in the target text to a specified location; the data processing party is used to process the target data set using the model specified in the target text and obtain a processing result when the target data set is converted to the third state; the auditing party is used to audit the model specified in the target text and the processing result obtained by processing the target data set using the model specified in the target text when the target data set is converted to the third state; the data using party is used to use the processing result obtained by processing the target data set using the model specified in the target text when the target data set is converted to the third state and is audited and approved by the auditing party.

[0067] An embodiment of the present invention further provides a non-transitory computer-readable storage medium, which can be set in an electronic device to store at least one instruction or at least one segment of program related to a method in the method embodiment. The at least one instruction or the at least one segment of program is loaded and executed by the processor to implement the method provided in the above embodiment.

[0068] An embodiment of the present invention further provides an electronic device, including a processor and the foregoing non-transitory computer-readable storage medium.

[0069] An embodiment of the present invention further provides a computer program product, which includes program code. When the program product runs on an electronic device, the program code is used to cause the electronic device to execute the steps in the methods according to various exemplary embodiments of the present invention described above in this specification.

[0070] Although some specific embodiments of the present invention have been described in detail by way of examples, those skilled in the art should understand that the above examples are for illustrative purposes only and not for limiting the scope of the present invention. Those skilled in the art should also understand that various modifications can be made to the embodiments without departing from the scope and spirit of the present invention. The scope of the present invention is defined by the appended claims.

Claims

1. A data processing method for monitoring abnormal nodes of text, characterized in that, The method includes the following steps: S100. Obtain the target text A 0 ={A 0 1, ……, A 0 i , ……, A 0 m}, A 0 i ={A 0 i1 , ……, A 0 ij , ……, A 0 ini}, A 0 ij is the j-th target sub-text of the i-th target platform corresponding to A, where j ranges from 1 to ni, and ni is the number of target sub-texts corresponding to A 0 0 i 0 and i ranges from 1 to m, where m is the number of target platforms corresponding to A 0 corresponding to A; S200. Obtain, according to A 0 , the target node set B = {B1,..., B i ,..., B m}, where B i = {B i1 ,..., B ir ,..., B isi}, B ir is the r-th target node in the i-th target node list, and the value range of r is from 1 to si, where si is the number of target nodes corresponding to B i ; S300. Obtain the list of target dataset information C = {C1,..., C x ,..., C p}, where C x = (GC x , QC x , WC x ). GC x is the ID of the x-th target dataset, QC x is the target identifier corresponding to GC x , and WC x is the target dataset text corresponding to GC x . The value of x ranges from 1 to p, where p is the number of target datasets. The target identifier is used to characterize the status of the target dataset; S400. When it is detected that the target identifier in C is the second target identifier, obtain the list C' of key data set information corresponding to the second target identifier x =(GC' x , QC' x , WC' x ), where GC' x is the x-th key data set ID, QC' x is the key identifier corresponding to GC' x , and WC' x is the key data set text corresponding to GC' x . The second target identifier is used to indicate that the key data set is in a to-be-processed state; S500. Process WC′ x and A 0 to obtain a list of key output values D = {D1,..., D i ,..., D m}, where D i is the i-th key output value; S600. When all the key output values in the key output value list are the first key output values, update QC' x from the second target identifier to the first target identifier, where the first target identifier is used to indicate that the key data set is in a non-operating state; S700. When there is at least one second key output value in the list of key output values, QC′ x is updated from the second target identifier to the third target identifier, and a prompt signal is sent, where the third target identifier is used to indicate that the key data set is in a working state; S800. According to B and D, the target data processing platform processes the key data set corresponding to the third target identifier to obtain the specified node record set B′ = {B′1,..., B′ i ,..., B′ m}, B′ i = {B′ i1 ,..., B′ ir ,..., B′ isi}, B′ ir = (B′ 0 ir , GB′ 0 ir , RB′ 0 ir ), B′ 0 ir is the r-th specified node ID in the i-th specified node list, GB′ 0 ir is the specified process log corresponding to B′ 0 ir , and RB′ 0 ir is the specified execution result corresponding to B′ 0 ir .

2. The method according to claim 1, characterized in that, In S200, s1 = …… = si = …… = sm.

3. The method according to claim 1, wherein In S100, the following steps are further included: S110. Obtain a list of target platforms \(F = \{F_1,\ldots,F i ,\ldots,F m \}\), where \(F i =(F 0 i , LF 0 i , ZF 0 i ), \(F 0 i \) is the ID of the \(i\)-th target platform, \(LF 0 i \) is the type of the target platform corresponding to \(F 0 i , and \(ZF 0 i \) is the account information of the target platform corresponding to \(F 0 i ; S130. Obtain the k-th initial text A k ={A k 1, ……, A k i , ……, A k m}, A k i ={A k i1 , ……, A k iy , ……, A k iqi}, A k iy is the y-th initial sub-text corresponding to the i-th target participant, where the value of y ranges from 1 to qi, and qi is the number of initial sub-texts corresponding to A i The initial value of k is 1; S150. Obtain the k-th initial authentication result list G k iy according to A k = {G k 1, ……, G k i , ……, G k m}, where G k i is the initial authentication result corresponding to the i-th target platform; S170. When there is any G i as the first authentication result, set k = k + 1 and execute S130; S190. When all the initial authentication results in G k are all second authentication results, set the A k corresponding to G k as the target text A 0 .

4. The method according to claim 3, wherein In S150, the following steps are also included to obtain G k : S151. Obtain the target authentication method ID F' corresponding to the target platform according to F, where F' = {F'1,..., F' i ,..., F' m}, and F' i is the target authentication method ID corresponding to the i-th target platform; S153. Based on F′ i Perform authentication on A using the corresponding authentication method k to obtain G k .

5. The method according to claim 3, wherein In S130, A k != A k+1 .

6. The method according to claim 1, characterized in that In S500, the following steps are further included to obtain D i : S510. Vectorize A 0 to obtain the corresponding target sub-text feature vector set T 0 i ={T 0 1, ……, T 0 1, ……, T 0 i , ……, T 0 m}, where T 0 i ={T 0 i1 , ……, T 0 ij , ……, T 0 ini}, and T 0 ij is the j-th target sub-text feature vector corresponding to the i-th target sub-text feature vector list; S520. Vectorize WC′ x to obtain the list of eigenvectors of the key dataset operation characteristics T′ x corresponding to WC′ x ={T′ x1 , ……, T′ xi , ……, T′ xm}, T′ xi ={T′ xi1 , ……, T′ xig , ……, TC′ xizi}, T′ xig is the g-th key dataset operation eigenvector corresponding to the i-th list of key dataset operation eigenvectors, where g ranges from 1 to zi, and zi is the number of key dataset operation eigenvectors corresponding to the i-th list of key dataset operation eigenvectors; S530. The target data review platform compares T′ x with T 0 to obtain the target review information set P′ x corresponding to T′ x ={P′ x1 , ……, P′ xi , ……, P′ xm}, P′ xi =(GP′ xi , DP′ xi ), where GP′ xi is the comparison process text between the target sub - text feature list corresponding to the i - th target platform and the operation feature list of the i - th key data set, and DP′ xi is the target comparison output value between the target sub - text feature list corresponding to the i - th target platform and the operation feature list of the i - th key data set; S540. Store P' x simultaneously into the m target nodes corresponding to the m target platforms; S550, when DP' xr meets the preset comparison condition, take D i as the second key comparison output value; Otherwise, set D i as the first key comparison output value.

7. The method according to claim 6, wherein In S550, the preset comparison condition is: T′ xi ∈ T 0 i .

8. The method according to claim 6, wherein The target platform not only includes: a target data providing platform, a target data processing platform, and a target data auditing platform, but also includes: a target data visualization platform and a target data usage platform; The target data visualization platform provides a visualization platform for displaying the target text, changing the target text, and viewing the target output value; The target data providing platform is used to upload the target data set corresponding to the specified data format in the target text to a specified location; The target data processing platform is used to process the target data set using the model specified in the target text and obtain a processing result when the target label corresponding to the target data set is the third target label; The target data auditing platform is used to audit the model specified in the target text, the processing result obtained by processing the target data set using the model specified in the target text when the target label corresponding to the target data set is the third target label, and whether each platform processes the target data set according to the target text; The target data usage platform is used to use the processing result obtained by processing the target data set using the model specified in the target text when the target label corresponding to the target data set is the third target label and which has been audited and approved by the auditor.

9. A non-transitory computer-readable storage medium, in which at least one instruction or at least one program segment is stored, and the at least one instruction or the at least one program segment is loaded and executed by a processor to implement the method according to any one of claims 1-8.

10. An electronic device, characterized in that, It includes a processor and the non-transitory computer-readable storage medium described in claim 9.

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