Text printing method, device, electronic device and computer readable medium

Abstract

The embodiments of the present disclosure disclose a text printing method, device, electronic device and computer-readable medium. A specific implementation of the method includes: obtaining a value subcontracting information set; for each value subcontracting information, executing a generation step: determining a value investment object information set; for every two value investment object information, generating investment difference information; generating value regularity investment verification information; generating at least one value investment abnormal object information; removing the at least one value investment abnormal object information to obtain a value investment object information set after removal; screening out the value investment object information whose matching degree with the corresponding information of the value subcontracting information meets the preset matching conditions as the target value investment object information; generating a subcontracting text; printing the subcontracting text to obtain a printed text. This implementation can efficiently and accurately realize the value investment of the subcontracting text.

Description

Technical Field

[0001] Embodiments of the present disclosure relate to the field of computer technology, and in particular to a text printing method, device, electronic device, and computer-readable medium. Background Art

[0002] At present, for the value investment of value investment projects, various value verification methods are often used to determine whether the value investment object has violated disciplines. For the value investment verification, the usual method is to use relevant value investment verification experts to manually conduct object violation verification between various value investment objects.

[0003] However, the inventors have found that when the above method is adopted, the following technical problems often occur:

[0004] First, there are many value input objects for the target value input project, and the value input information proposed by each value input object often has a lot of file content. The value input verification experts manually conduct violation verification between each object, which often leads to problems of inaccurate and incomplete verification. In addition, there is often a problem of low verification efficiency, which leads to major problems with the file content of the subsequent printed files;

[0005] Second, the determination of the input difference information between value input information is often not accurate enough, resulting in inaccurate value input for the value subcontracting information in the subsequent process.

[0006] The above information disclosed in this Background section is only for enhancement of understanding of the background of the inventive concept and therefore it may contain information that does not form the prior art that is already known in this country to a person of ordinary skill in the art. Summary of the invention

[0007] The content of this disclosure is used to introduce concepts in a brief form, which will be described in detail in the detailed implementation section below. The content of this disclosure is not intended to identify the key features or essential features of the technical solution claimed for protection, nor is it intended to limit the scope of the technical solution claimed for protection.

[0008] Some embodiments of the present disclosure propose a text printing method, an apparatus, an electronic device, and a computer-readable medium to solve the technical problems mentioned in the above background technology section.

[0009] In a first aspect, some embodiments of the present disclosure provide a text printing method, comprising: obtaining a value sub-packaging information set corresponding to a target value investment project; for each value sub-packaging information in the above value sub-packaging information set, executing the following generation steps: determining a value investment object information set corresponding to the above value sub-packaging information; for each two value investment object information in the above value investment object information set, generating investment difference information representing the value investment information groups corresponding to the above two value investment object information; generating value regularity investment verification information for the above value investment object information set; generating at least one value investment abnormal object information according to the obtained investment difference information set and the above value regularity investment verification information; removing the above at least one value investment abnormal object information from the above value investment object information set to obtain a value investment object information set after removal; filtering out value investment object information whose matching degree with the corresponding information of the above value sub-packaging information meets a preset matching condition from the above value investment object information set after removal as the target value investment object information; generating a sub-packaging text for the above target value investment object information and the above value sub-packaging information; printing the above sub-packaging text to obtain a printed text, so as to send the above printed text to an information receiving terminal corresponding to the above target value investment object information.

[0010] In a second aspect, some embodiments of the present disclosure provide a text printing device, comprising: an acquisition unit, configured to acquire a value sub-package information set corresponding to a target value investment project; an execution unit, configured to execute the following generation steps for each value sub-package information in the value sub-package information set: determining a value investment object information set corresponding to the value sub-package information; for each two value investment object information in the value investment object information set, generating investment difference information representing the value investment information groups corresponding to the two value investment object information; generating value regularity investment verification information for the value investment object information set; and generating value regularity investment verification information for the value investment object information set according to the obtained investment difference information set and The above-mentioned value regularity input verification information is used to generate at least one value investment abnormal object information; the above-mentioned at least one value investment abnormal object information is removed from the above-mentioned value investment object information set to obtain the value investment object information set after removal; the value investment object information whose matching degree with the corresponding information of the above-mentioned value sub-packaging information meets the preset matching conditions is screened out from the above-mentioned value investment object information set after removal, as the target value investment object information; a sub-packaging text is generated for the above-mentioned target value investment object information and the above-mentioned value sub-packaging information; the above-mentioned sub-packaging text is printed to obtain a printed text, so as to send the above-mentioned printed text to the information receiving terminal corresponding to the above-mentioned target value investment object information.

[0011] In a third aspect, some embodiments of the present disclosure provide an electronic device comprising: one or more processors; a storage device on which one or more programs are stored, and when the one or more programs are executed by the one or more processors, the one or more processors implement the method described in any implementation manner in the first aspect.

[0012] In a fourth aspect, some embodiments of the present disclosure provide a computer-readable medium having a computer program stored thereon, wherein when the program is executed by a processor, the method described in any implementation manner in the first aspect is implemented.

[0013] The above-mentioned embodiments of the present disclosure have the following beneficial effects: the value delivery of the subcontract text can be realized efficiently and accurately through the text printing method of some embodiments of the present disclosure. Specifically, the reason why the value delivery of the relevant subcontract text is not accurate and efficient is that the number of objects of the value delivery object for the target value delivery project is large, and the value delivery information proposed by each value delivery object often has a lot of file content. The value delivery verification experts manually conduct the violation verification between each object, and there is often a problem that the verification is not accurate and thorough enough. In addition, there is also a problem of low verification efficiency, which leads to a big problem in the file content of the subsequent printed file. Based on this, the text printing method of some embodiments of the present disclosure, first, obtains the value subcontract information set corresponding to the target value delivery project, so as to generate the corresponding printed text for each value subcontract information in the subsequent, and realize the corresponding value delivery. Then, for each value subcontract information in the above value subcontract information set, the following generation steps are performed: the first step is to determine the value delivery object information set corresponding to the above value subcontract information, so as to analyze the investment difference and verify the value regularity investment for each value delivery object information in the subsequent. The second step is to generate the input difference information between the value input information groups corresponding to the two value input object information for each two value input object information in the above value input object information set. Here, by determining the input difference information between the two value input object information, it is possible to effectively avoid the occurrence of a situation where the value input between the value input objects has a high degree of similarity, and avoid the non-compliance of the input caused by the same input between the value input objects. The third step is to generate the value regularity input verification information for the above value input object information set. By determining the value regularity input verification information between the two value input object information, it is possible to effectively avoid the regularity of the value input between the value input objects, and avoid the non-compliance of the input caused by the regularity of the value input between the value input objects. The fourth step is to accurately generate at least one value input abnormal object information based on the obtained input difference information set and the above value regularity input verification information. The fifth step is to remove the above at least one value input abnormal object information from the above value input object information set to obtain the removed value input object information set. Here, the removed value input object information in the removed value input object information set obtained is the object information without any violation. The sixth step is to select the value investment object information whose matching degree with the corresponding information of the above-mentioned value sub-package information satisfies the preset matching conditions from the above-mentioned removed value investment object information set as the target value investment object information. Here, the preset matching conditions are used to select the value investment object information that best matches the value sub-package information. The seventh step is to accurately generate the sub-package text for the above-mentioned target value investment object information and the above-mentioned value sub-package information, so as to facilitate the confirmation of the delivery of the value sub-package information.In the eighth step, the subcontract text is printed to obtain a printed text, and the printed text is sent to the information receiving terminal corresponding to the target value investment object information. In summary, by determining the investment difference of the corresponding value investment object information and verifying the value regularity investment for each value subcontract information, the value investment of the subcontract text can be efficiently and accurately achieved while avoiding value investment violations. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The above and other features, advantages and aspects of the embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the accompanying drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and that components and elements are not necessarily drawn to scale.

[0015] Figure 1 is a flow chart of some embodiments of the text printing method according to the present disclosure;

[0016] Figure 2 is a schematic diagram of the structure of some embodiments of the text printing device according to the present disclosure;

[0017] Figure 3 It is a schematic diagram of the structure of an electronic device suitable for implementing some embodiments of the present disclosure. DETAILED DESCRIPTION

[0018] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as being limited to the embodiments set forth herein. On the contrary, these embodiments are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not intended to limit the scope of protection of the present disclosure.

[0019] It should also be noted that, for ease of description, only the parts related to the invention are shown in the drawings. In the absence of conflict, the embodiments and features in the embodiments of the present disclosure can be combined with each other.

[0020] It should be noted that the concepts such as "first" and "second" mentioned in the present disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0021] It should be noted that the modifications of "one" and "plurality" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0022] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only used for illustrative purposes and are not used to limit the scope of these messages or information.

[0023] The present disclosure will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments.

[0024] refer to Figure 1 , shows a process 100 of some embodiments of the text printing method according to the present disclosure. The text printing method comprises the following steps:

[0025] Step 101, obtaining a value subcontracting information set corresponding to a target value investment project.

[0026] In some embodiments, the execution subject of the above-mentioned text printing method can obtain the value subcontracting information set corresponding to the target value delivery project through a wired connection method or a wireless connection method. Among them, the target value delivery project can be a project to be value delivered. In practice, the target value delivery project can be a bidding project. The value subcontracting information in the value subcontracting information set can be the bidding information for each bidding subproject in the multiple bidding subprojects corresponding to the target value delivery project. For example, the target value delivery project can be the A total project. By subdividing the A total project at each stage, we can obtain the B subproject, the C subproject and the D subproject. There is corresponding B value subcontracting information for the B subproject. There is corresponding C value subcontracting information for the C subproject. There is corresponding D value subcontracting information for the D subproject.

[0027] Step 102: for each value sub-package information in the value sub-package information set, perform the following generation steps:

[0028] Step 1021, determining the value investment object information set corresponding to the above value subcontracting information.

[0029] In some embodiments, the execution subject may determine a value investment object information set corresponding to the value subcontracting information. The value investment object information in the value investment object information set may be object information of an object that performs value investment. The object information may be identification information of an object. The value investment may be a value investment plan for a target value investment project. In practice, the value investment object information may be bidder information. Specifically, the value investment object information corresponds to an object that performs a bidding operation on a subdivided project.

[0030] Step 1022: for every two value investment object information in the value investment object information set, generate investment difference information representing the value investment information groups corresponding to the two value investment object information.

[0031] In some embodiments, the execution subject may generate, for each two value investment object information in the value investment object information set, investment difference information representing the value investment information groups corresponding to the two value investment object information. The value investment information may be the value information invested by the value investment object for the value subcontracting information. Specifically, the value information may be information in the form of a document. In practice, the value investment information may be a bidding document. The investment difference information may be bid content difference information between bidding documents.

[0032] In some optional implementations of some embodiments, the value investment information in the above-mentioned value investment information group includes: multiple value expected investment information for multiple elements. Among them, the element can be a value investment indicator corresponding to the value investment information. In practice, the value investment indicator can be but is not limited to at least one of the following: investment amount indicator, investment personnel indicator, investment time. There is a one-to-one correspondence between the elements in the multiple elements and the value expected investment information in the multiple value expected investment information. The value expected investment information can be the value expected payment information that the value investment object expects to be selected for processing for the subdivided project. In practice, the value expected investment information can be the expected bidding plan proposed by the bidding object for the subdivided project. The value investment information group includes: a first value investment information group and a second value investment information group. The first value investment information group can be a value investment information group corresponding to the first value investment object information in the value investment object information group corresponding to the value investment information group. The second value investment information group can be a value investment information group corresponding to the second value investment object information in the value investment object information group corresponding to the value investment information group.

[0033] Optionally, the generating of the investment difference information representing the value investment information groups corresponding to the two value investment object information may include the following steps:

[0034] The first step is to perform standardization processing on each of the multiple pieces of first value expected investment information corresponding to the above-mentioned first value investment information group to generate first standardized information and obtain a first standardized information set.

[0035] As an example, first, the execution subject may perform numerical conversion on the first value expected investment information that is not of numerical type among the plurality of first value expected investment information to obtain the plurality of converted first value expected investment information. Then, the plurality of converted first value expected investment information is numerically standardized to generate a first standardized information set.

[0036] In the second step, square processing is performed on each first standardized information in the first standardized information set to generate a first square processing result, thereby obtaining a first square processing result set.

[0037] The third step is to perform weighted summation processing on each first square processing result in the first square processing result set to obtain a first weighted summation result.

[0038] The fourth step is to perform square root processing on the first weighted sum result to obtain a first square root processing result.

[0039] The fifth step is to perform standardization processing on each of the plurality of second value expected investment information corresponding to the second value investment information group to generate second standardized information and obtain a second standardized information set. For specific implementation methods, refer to the generation of the first standardized information set.

[0040] In the sixth step, each second standardized information in the second standardized information set is squared to generate a second squared processing result, thereby obtaining a second squared processing result set.

[0041] The seventh step is to perform weighted summation processing on each second square processing result in the above second square processing result set to obtain a second weighted summation result.

[0042] In the eighth step, a square root is performed on the second weighted sum result to obtain a second square root result.

[0043] In the ninth step, the first square root processing result and the second square root processing result are multiplied to obtain a first multiplication result.

[0044] The tenth step is to correspondingly multiply the multiple pieces of first value expected investment information and the multiple pieces of second value expected investment information to obtain multiple second multiplication results.

[0045] As an example, the above-mentioned execution entity may multiply the first value expected investment information and the second value expected investment information having the same corresponding elements to obtain a second multiplication result.

[0046] In the eleventh step, the plurality of second multiplication results are added together to obtain an addition result.

[0047] In the twelfth step, the first multiplication result is divided by the addition result to obtain a first division result.

[0048] In the thirteenth step, arc cosine processing is performed on the first division result to obtain an arc cosine processing result.

[0049] Step 14: Divide the arccosine processing result by the first value to obtain a second division result. In practice, the first value may be π / 2.

[0050] Step 15: Subtract the second division result from the second value to obtain a subtraction result as input difference information. In practice, the second value may be 1.

[0051] In some optional implementations of some embodiments, the value input information in the above value input information group includes: multiple value expected input information for multiple elements. The value input information group includes: a first value input information group and a second value input information group.

[0052] Optionally, the generating of the investment difference information representing the value investment information groups corresponding to the two value investment object information may include the following steps:

[0053] The first step is to determine the element level corresponding to each of the above multiple elements. Among them, the element level can represent the indicator importance of the corresponding value input indicator. In practice, the element level can be divided into four categories: "first element level", "second element level", "third element level" and "fourth element level". The importance of the corresponding indicators decreases from left to right.

[0054] As an example, the execution entity may determine the element level corresponding to each of the plurality of elements according to a pre-constructed element level table.

[0055] In the second step, the multiple elements are divided into element groups according to the element level corresponding to each element, and element groups are obtained, wherein the element levels corresponding to the elements in each element group are the same.

[0056] In the third step, for each element set in the above element set group, the following first information determination step is performed:

[0057] The first sub-step is to determine a first value input information sub-group corresponding to the element set in the first value input information group and a second value input information sub-group corresponding to the element set in the second value input information group.

[0058] The second sub-step is to determine the element difference interval corresponding to the element set, wherein the element difference interval has different sizes according to the element levels corresponding to the element set.

[0059] As an example, the execution subject may determine the element difference interval corresponding to the element set by querying.

[0060] The third sub-step is to determine the information difference between each first value input information in the above-mentioned first value input information sub-group and each second value input information in the above-mentioned second value input information sub-group to obtain an information difference sub-group.

[0061] The fourth sub-step is to generate confirmation information characterizing whether each information difference in the above-mentioned information difference sub-group is within the above-mentioned element difference interval, and obtain a confirmation information sub-group.

[0062] The fifth sub-step is to determine the information proportion corresponding to the target determination information in the determination information subgroup, wherein the target determination information represents that the information difference is not within the element difference interval.

[0063] The fourth step is to generate the above-mentioned input difference information based on the obtained information proportion group.

[0064] As an example, the above-mentioned execution subject can generate a corresponding input difference level according to the size of each information ratio in the information ratio group. For example, there is a corresponding element level for the information ratio in the information ratio group. The corresponding element level includes: the first element level, the second element level, the third element level and the fourth element level. Then the information ratio group includes: the first information ratio, the second information ratio, the third information ratio and the fourth information ratio. For the first information ratio greater than the first value, the input difference level is set to the first input difference level. When the first information ratio is less than the first value and the second information ratio is greater than the second value, the input difference level is set to the second input difference level. When the first information ratio is less than the first value, the second information ratio is less than the second value, and the third information ratio is greater than the third value, the input difference level is set to the third input difference level. When the first information ratio is less than the first value, the second information ratio is less than the second value, the third information ratio is less than the third value, and the fourth information ratio is greater than the fourth value, the input difference level is set to the fourth input difference level. Finally, the obtained input difference level is set as the input difference information.

[0065] In some optional implementations of some embodiments, the value investment information in the value investment information group includes: multiple pieces of expected value investment information for multiple elements, and the value investment information group includes: a first value investment information group and a second value investment information group.

[0066] Optionally, the generating of the investment difference information representing the value investment information groups corresponding to the two value investment object information may include the following steps:

[0067] The first step is to determine the element weight corresponding to each of the above multiple elements. The element weight can represent the importance of the corresponding value input indicator. The larger the element weight, the more important the corresponding value input indicator.

[0068] The second step is to sort the multiple elements according to the element weights to obtain an element sequence, where the elements in the element sequence are sorted in descending order according to the element weights.

[0069] In the third step, for each element in the above element sequence, the following second information determination step is performed:

[0070] The first sub-step is to determine the third value input information corresponding to the above element in the above first value input information group and the fourth value input information corresponding to the above element in the above second value input information group.

[0071] The second sub-step is to determine the information difference between the third value input information and the fourth value input information.

[0072] The third sub-step is to determine the first information difference score corresponding to the above information difference. The first information difference score has a predetermined corresponding relationship with the information difference. The first information difference score can represent the information difference between the third value input information and the fourth value input information.

[0073] The fourth sub-step is to multiply the first information difference score by the corresponding element weight to generate a multiplied score.

[0074] Step 4: for each element set in the above element set group, perform the following first information determination step:

[0075] The first sub-step is to determine a first value input information sub-group corresponding to the element set in the first value input information group and a second value input information sub-group corresponding to the element set in the second value input information group.

[0076] The second sub-step is to determine the element difference interval corresponding to the above element set.

[0077] The third sub-step is to determine the information difference between each first value input information in the above-mentioned first value input information sub-group and each second value input information in the above-mentioned second value input information sub-group to obtain an information difference sub-group.

[0078] The fourth sub-step is to generate confirmation information characterizing whether each information difference in the above-mentioned information difference sub-group is within the above-mentioned element difference interval, and obtain a confirmation information sub-group.

[0079] The fifth sub-step is to determine the information proportion corresponding to the target determination information in the determination information subgroup, wherein the target determination information represents that the information difference is not within the element difference interval.

[0080] The sixth sub-step is to determine a second information difference score corresponding to the information ratio. The second information difference score has a predetermined corresponding relationship with the information ratio. The second information difference score can represent the information ratio corresponding to the target determined information in the determined information sub-group.

[0081] The fifth step is to add the corresponding scores of the obtained multiplication score set and the obtained second information difference score set to generate an addition score set.

[0082] Step 6: Determine from the summed score set a first summed score subset whose corresponding values ​​are greater than a predetermined value and a second summed score subset whose corresponding values ​​are less than or equal to the predetermined value. The first summed score indicates that there is no value input difference between the corresponding value input information. The second summed score indicates that there is a value input difference between the corresponding value input information.

[0083] Step 7: Generate the above-mentioned input difference information based on the first added score subset and the second added score subset.

[0084] As an example, the execution entity may generate the input difference information according to the first subset of added scores and the second subset of added scores by means of information aggregation.

[0085] The above-mentioned "first step to seventh step" as one of the inventive points of the present disclosure solves the second technical problem in the background technology, "the determination of the input difference information between the value input information is often not accurate enough, resulting in the problem of inaccurate value delivery of the value subcontracting information later." Based on this, the present disclosure determines the differences between the corresponding value delivery information from multiple perspectives through the perspective of element level and element weight, thereby accurately generating the input difference information.

[0086] Step 1023, generating value regularity investment verification information for the above value investment object information set.

[0087] In some embodiments, the execution subject may generate value regularity input verification information for the value input object information set. The value regularity input verification information may be a verification result of value regularity input verification for each value input object. Value regularity input may be an operation of making a value regularity quotation based on the bid value.

[0088] In some optional implementations of some embodiments, the generating of the value regularity investment verification information for the value investment object information set may include the following steps:

[0089] The first step is to determine the object feature information group corresponding to each value input object information in the above value input object information set, and obtain the object feature information group set. Among them, the object feature information group can be the object information of the object corresponding to the value input object information. For example, the value input object information can be the object identifier of the value input object. The object feature information group can be the object feature information corresponding to the value input object. In practice, the value input object can be a bidding object. The value input object information can be the object information of the bidding object. The object feature information group can be the object feature information set of the bidding object. For example, the object feature information can be the relevant operational business information of the bidding company, or it can be the accounting information of the bidding company.

[0090] The second step is to generate a knowledge graph for the above-mentioned value input object information set based on the above-mentioned object feature information set. Among them, the nodes corresponding to the above-mentioned knowledge graph include: nodes corresponding to the value input object information. That is, the nodes corresponding to the knowledge graph are value input objects, that is, bidding objects. In addition, the nodes corresponding to the knowledge graph also include: object feature information. The edges corresponding to the knowledge graph represent the association between the bidding object and the object feature information.

[0091] The third step is to take each value input object information as the node center, remove the nodes and edges that are separated from the value input object information by more than the target number, and obtain the cropped graph corresponding to the value input object information. The target number can be a preset value. For example, the target number can be 3.

[0092] Step 4: For the target cropped atlas in the obtained cropped atlas set, perform the following generation steps:

[0093] The first sub-step is to determine at least one cropping atlas in the remaining cropping atlas subsets that has the same edge as the target cropping atlas, wherein the target cropping atlas may be an atlas selected from the cropping atlas set.

[0094] The second sub-step is to determine the graph association score corresponding to each cropped graph in the at least one cropped graph according to the number of identical edges and the edge information level of the identical edges. The graph association score can represent the association relationship between the two graphs. The higher the graph association score, the closer the association relationship between the two graphs.

[0095] As an example, first, the execution subject may determine the same side information set corresponding to each cropped graph. Then, the score corresponding to the side information level corresponding to each same side information in the same side information set is determined to obtain a score set. Then, each score in the score set is added to generate an added score as the graph association score between the cropped graph and the target cropped graph.

[0096] The third sub-step is to remove the cropped atlases whose atlas association scores are less than the target value from the at least one cropped atlas, to obtain a cropped atlas set after removal. The target value may be a predetermined value. For example, the target value may be 40.

[0097] The fourth sub-step is to compare the input difference information of the above-mentioned cropped atlas set after removal and the above-mentioned target cropped atlas to obtain a comparison result. The comparison result can represent the atlas difference between the cropped atlas set after removal and the target cropped atlas.

[0098] As an example, the execution subject may compare the removed cropped atlas set and the target cropped atlas to input difference information between each edge and each node to generate a comparison result.

[0099] The fifth step is to remove the target cropped atlas from the cropped atlas set to obtain a cropped atlas subset.

[0100] In the sixth step, the cropped atlas subset is used as the cropped atlas set, the target cropped atlas is reselected from the cropped atlas set, and the above generation steps are continued.

[0101] In the seventh step, based on the obtained comparison result set, value regularity input verification information can be generated through various methods.

[0102] In some optional implementations of some embodiments, generating the value regularity input verification information according to the obtained comparison result set may include the following steps:

[0103] The first step is to determine the object connection information between each value input object information in the value input object information set according to the comparison result set. The object connection information can represent the object association relationship between each value input object information. For example, the object association relationship can be an object investment relationship or an object cooperation relationship.

[0104] As an example, the execution subject may select from the comparison result set the comparison result in which the difference between the cropped atlas set after the corresponding comparison result representation is removed and the target cropped atlas is greater than the predetermined difference information, and use it as the target comparison result to obtain at least one target comparison result. Then, the value input object information group corresponding to each target comparison result in the at least one target comparison result is linked to the object information to generate object link information.

[0105] The second step is to generate at least one directed acyclic graph for the above object contact information, wherein the nodes in the above directed acyclic graph are value investment object information, and the arrows in the above directed acyclic graph represent object value investment relationships.

[0106] Step 3: for each directed acyclic graph in the at least one directed acyclic graph, perform the following information generation steps:

[0107] The first sub-step is to determine the value input information group corresponding to the directed acyclic graph.

[0108] As an example, the execution entity may determine the value input information group corresponding to the directed acyclic graph by querying.

[0109] The second sub-step is to determine the value input difference information corresponding to each value input information in the value input information group, wherein the value input difference information can represent the difference in value input between each value input information.

[0110] The third sub-step is to generate verification information, based on the above-mentioned value investment difference information, to characterize whether there is value regularity investment in the value investment object information subset corresponding to the above-mentioned directed acyclic graph.

[0111] As an example, first, the execution subject may query whether the value input difference information is within the target value difference range. Then, in response to determining that it is within the target value difference range, generate verification information indicating that the value input object information subset corresponding to the directed acyclic graph has value regularity input. And vice versa.

[0112] The fourth step is to generate value regularity input verification information based on the at least one verification information obtained.

[0113] As an example, the above-mentioned execution entity may aggregate at least one verification information to generate aggregated verification information and obtain value regularity input verification information.

[0114] Step 1024: Generate at least one value investment abnormal object information based on the obtained investment difference information set and the above-mentioned value regularity investment verification information.

[0115] In some embodiments, the execution entity may generate at least one value investment abnormality object information based on the obtained investment difference information set and the value regularity investment verification information.

[0116] As an example, first, the above-mentioned execution subject can filter out the input difference information whose corresponding input difference information is less than the target information difference from the input difference information set as the target input difference information, and obtain at least one target input difference information. Then, determine the first value input abnormal object information subset corresponding to the at least one target input difference information. Next, determine whether the value regularity input verification information represents the absence of value regularity investment. Then, in response to determining the existence, determine the second value input abnormal object information subset with value regularity investment. Further, the first value input abnormal object information subset and the second value input abnormal object information subset are subjected to object information fusion to generate at least one value input abnormal object information. Finally, in response to determining the absence, the first value input abnormal object information subset is determined as at least one value input abnormal object information.

[0117] Step 1025: remove the at least one abnormal value investment object information from the value investment object information set to obtain a value investment object information set after removal.

[0118] In some embodiments, the execution subject may remove the at least one abnormal value investment object information from the value investment object information set to obtain a value investment object information set after removal.

[0119] Step 1026, filter out the value investment object information set after removal, and select the value investment object information whose matching degree with the corresponding information of the value subcontracting information meets the preset matching condition as the target value investment object information.

[0120] In some embodiments, the execution subject may select the value investment object information whose matching degree with the corresponding information of the value subcontracting information satisfies the preset matching condition from the above-removed value investment object information set as the target value investment object information. The preset matching condition may be the matching condition that the corresponding value investment meets the pre-defined value requirement.

[0121] Step 1027, generating a subcontracting text for the target value investment object information and the value subcontracting information.

[0122] In some embodiments, the execution subject may generate a subcontracting text for the target value investment object information and the value subcontracting information, wherein the subcontracting text may be text information that entrusts the value sub-item corresponding to the value subcontracting information to the object corresponding to the target value investment object information for processing.

[0123] In some optional implementations of some embodiments, the generating of the subcontract text for the target value investment object information and the value subcontract information may include the following steps:

[0124] The first step is to obtain a value selection template for the above value sub-packaging information, wherein the value selection template may be a pre-selected template used to prove that the value sub-packaging information has been entrusted.

[0125] The second step is to fill the above target value investment object information and value selection related information into the corresponding positions in the above value selection template to obtain the filled template.

[0126] The third step is to perform text verification on the filled template to obtain the verification result.

[0127] In the fourth step, in response to determining that the verification result indicates that the filled template is correct, the filled template is used as a subpackage file.

[0128] Step 1028, print the above subcontract text to obtain a printed text, and send the above printed text to the information receiving terminal corresponding to the above target value investment object information.

[0129] In some embodiments, the execution entity may print the subcontract text to obtain a printed text, and send the printed text to an information receiving terminal corresponding to the target value investment object information.

[0130] The above-mentioned embodiments of the present disclosure have the following beneficial effects: the value delivery of the subcontract text can be realized efficiently and accurately through the text printing method of some embodiments of the present disclosure. Specifically, the reason why the value delivery of the relevant subcontract text is not accurate and efficient is that the number of objects of the value delivery object for the target value delivery project is large, and the value delivery information proposed by each value delivery object often has a lot of file content. The value delivery verification experts manually conduct the violation verification between each object, and there is often a problem that the verification is not accurate and thorough enough. In addition, there is also a problem of low verification efficiency, which leads to a big problem in the file content of the subsequent printed file. Based on this, the text printing method of some embodiments of the present disclosure, first, obtains the value subcontract information set corresponding to the target value delivery project, so as to generate the corresponding printed text for each value subcontract information in the subsequent, and realize the corresponding value delivery. Then, for each value subcontract information in the above value subcontract information set, the following generation steps are performed: the first step is to determine the value delivery object information set corresponding to the above value subcontract information, so as to analyze the investment difference and verify the value regularity investment for each value delivery object information in the subsequent. The second step is to generate the input difference information between the value input information groups corresponding to the two value input object information for each two value input object information in the above value input object information set. Here, by determining the input difference information between the two value input object information, it is possible to effectively avoid the occurrence of a situation where the value input between the value input objects has a high degree of similarity, and avoid the non-compliance of the input caused by the same input between the value input objects. The third step is to generate the value regularity input verification information for the above value input object information set. By determining the value regularity input verification information between the two value input object information, it is possible to effectively avoid the regularity of the value input between the value input objects, and avoid the non-compliance of the input caused by the regularity of the value input between the value input objects. The fourth step is to accurately generate at least one value input abnormal object information based on the obtained input difference information set and the above value regularity input verification information. The fifth step is to remove the above at least one value input abnormal object information from the above value input object information set to obtain the removed value input object information set. Here, the removed value input object information in the removed value input object information set obtained is the object information without any violation. The sixth step is to select the value investment object information whose matching degree with the corresponding information of the above-mentioned value sub-package information satisfies the preset matching conditions from the above-mentioned removed value investment object information set as the target value investment object information. Here, the preset matching conditions are used to select the value investment object information that best matches the value sub-package information. The seventh step is to accurately generate the sub-package text for the above-mentioned target value investment object information and the above-mentioned value sub-package information, so as to facilitate the confirmation of the delivery of the value sub-package information.In the eighth step, the subcontract text is printed to obtain a printed text, and the printed text is sent to the information receiving terminal corresponding to the target value investment object information. In summary, by determining the investment difference of the corresponding value investment object information and verifying the value regularity investment for each value subcontract information, the value investment of the subcontract text can be efficiently and accurately achieved while avoiding value investment violations.

[0131] Further references Figure 2 As an implementation of the methods shown in the above figures, the present disclosure provides some embodiments of a text printing device, and these device embodiments are Figure 1 Corresponding to the method embodiments shown, the text printing device can be specifically applied to various electronic devices.

[0132] like Figure 2 As shown, a text printing device 200 includes: an acquisition unit 201 and an execution unit 202. Wherein, the acquisition unit 201 is configured to acquire a value sub-package information set corresponding to a target value investment project; the execution unit 202 is configured to execute the following generation steps for each value sub-package information in the above value sub-package information set: determine the value investment object information set corresponding to the above value sub-package information; for each two value investment object information in the above value investment object information set, generate investment difference information representing the value investment information groups corresponding to the above two value investment object information; generate value regularity investment verification information for the above value investment object information set; generate at least one value investment abnormal object information according to the obtained investment difference information set and the above value regularity investment verification information; remove the above at least one value investment abnormal object information from the above value investment object information set to obtain a value investment object information set after removal; filter out the value investment object information whose matching degree with the corresponding information of the above value sub-package information meets the preset matching condition from the above value investment object information set after removal as the target value investment object information; generate a sub-package text for the above target value investment object information and the above value sub-package information; print the above sub-package text to obtain a printed text, so as to send the above printed text to the information receiving terminal corresponding to the above target value investment object information.

[0133] It is understood that the units described in the text printing device 200 are similar to those described in the reference Figure 1 Therefore, the operations, features and beneficial effects described above for the method are also applicable to the text printing device 200 and the units included therein, and will not be described in detail here.

[0134] Reference below Figure 3, which shows a structural schematic diagram of an electronic device (eg, an electronic device) 300 suitable for implementing some embodiments of the present disclosure. Figure 3 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0135] like Figure 3 As shown, the electronic device 300 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 301, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 302 or a program loaded from a storage device 308 into a random access memory (RAM) 303. In the RAM 303, various programs and data required for the operation of the electronic device 300 are also stored. The processing device 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304.

[0136] Typically, the following devices may be connected to the I / O interface 305: input devices 306 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; output devices 307 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 308 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 309. The communication devices 309 may allow the electronic device 300 to communicate with other devices wirelessly or by wire to exchange data. Although Figure 3 The electronic device 300 is shown with various devices, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead. Figure 3 Each block shown in the figure may represent one device, or may represent multiple devices as required.

[0137] In particular, according to some embodiments of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, some embodiments of the present disclosure include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In some such embodiments, the computer program can be downloaded and installed from the network through the communication device 309, or installed from the storage device 308, or installed from the ROM 302. When the computer program is executed by the processing device 301, the above-mentioned functions defined in the method of some embodiments of the present disclosure are executed.

[0138] It should be noted that the computer-readable medium in some embodiments of the present disclosure may be a computer-readable signal medium or a computer-readable storage medium or any combination of the two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In some embodiments of the present disclosure, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In some embodiments of the present disclosure, the computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, in which a computer-readable program code is carried. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer readable signal medium may also be any computer readable medium other than a computer readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0139] In some embodiments, the client and the server may communicate using any currently known or future developed network protocol such as HTTP (HyperText Transfer Protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an ad hoc peer-to-peer network), as well as any currently known or future developed network.

[0140] The above-mentioned computer-readable medium may be included in the above-mentioned electronic device; or it may exist independently without being installed in the electronic device. The above-mentioned computer-readable medium carries one or more programs. When the above-mentioned one or more programs are executed by the electronic device, the electronic device: obtains the value subpackaging information set corresponding to the target value investment project; for each value subpackaging information in the above-mentioned value subpackaging information set, performs the following generation steps: determines the value investment object information set corresponding to the above-mentioned value subpackaging information; for every two value investment object information in the above-mentioned value investment object information set, generates investment difference information representing the value investment information groups corresponding to the above-mentioned two value investment object information; generates value regularity investment verification information for the above-mentioned value investment object information set; and according to the obtained investment difference information set, generates the value regularity investment verification information for the above-mentioned value investment object information set. and the above-mentioned value regularity input verification information, generate at least one value investment abnormal object information; remove the above-mentioned at least one value investment abnormal object information from the above-mentioned value investment object information set to obtain the value investment object information set after removal; filter out the value investment object information whose matching degree with the corresponding information of the above-mentioned value sub-packaging information meets the preset matching conditions from the above-mentioned value investment object information set after removal, as the target value investment object information; generate a sub-packaging text for the above-mentioned target value investment object information and the above-mentioned value sub-packaging information; print the above-mentioned sub-packaging text to obtain a printed text, and send the above-mentioned printed text to the information receiving terminal corresponding to the above-mentioned target value investment object information.

[0141] Computer program code for performing the operations of some embodiments of the present disclosure may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0142] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0143] The units described in some embodiments of the present disclosure may be implemented by software or by hardware. The described units may also be provided in a processor, for example, may be described as: a processor includes an acquisition unit and an execution unit. The names of these units do not constitute limitations on the units themselves in certain circumstances, for example, the acquisition unit may also be described as "a unit for acquiring a value subcontracting information set corresponding to a target value delivery project".

[0144] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chip (SOCs), complex programmable logic devices (CPLDs), and the like.

[0145] The above descriptions are only some preferred embodiments of the present disclosure and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present disclosure is not limited to the technical solutions formed by a specific combination of the above-mentioned technical features, but should also cover other technical solutions formed by any combination of the above-mentioned technical features or their equivalent features without departing from the above-mentioned inventive concept. For example, the above-mentioned features are replaced with the technical features with similar functions disclosed in the embodiments of the present disclosure (but not limited to) and the technical solutions formed.

Claims

1. A text printing method, comprising: Obtain the value subcontract information set corresponding to the target value delivery project; For each value sub-package information in the value sub-package information set, the following generation steps are performed: Determine a value input object information set corresponding to the value subcontracting information; For each two pieces of value input object information in the value input object information set, generating input difference information representing the value input information groups corresponding to the two pieces of value input object information, wherein the value input information in the value input information group includes: a plurality of pieces of expected value input information for a plurality of elements, and the value input information group includes: a first value input information group and a second value input information group; and The generating of the investment difference information representing the value investment information groups corresponding to the two value investment object information includes: Performing standardization processing on each piece of first expected value investment information among the plurality of pieces of first expected value investment information corresponding to the first value investment information group to generate first standardized information, thereby obtaining a first standardized information set; Performing square processing on each first standardized information in the first standardized information set to generate a first square processing result, thereby obtaining a first square processing result set; Performing weighted sum processing on each first square processing result in the first square processing result set to obtain a first weighted sum result; Performing a square root processing on the first weighted sum result to obtain a first square root processing result; Performing standardization processing on each piece of second value expected investment information among the plurality of pieces of second value expected investment information corresponding to the second value investment information group to generate second standardized information, thereby obtaining a second standardized information set; Performing square processing on each second standardized information in the second standardized information set to generate a second square processing result, thereby obtaining a second square processing result set; Performing weighted sum processing on each second square processing result in the second square processing result set to obtain a second weighted sum result; Performing a square root processing on the second weighted sum result to obtain a second square root processing result; multiplying the first square root processing result and the second square root processing result to obtain a first multiplication result; Correspondingly multiplying the plurality of first value expected investment information and the plurality of second value expected investment information to obtain a plurality of second multiplication results; Adding the multiple second multiplication results to obtain an addition result; Dividing the first multiplication result by the addition result to obtain a first division result; Performing arc cosine processing on the first division result to obtain an arc cosine processing result; Dividing the arccosine processing result by the first value to obtain a second division result; Subtracting the second division result from the second value to obtain a subtraction result as input difference information; Generate value regularity input verification information for the value input object information set, wherein: The generating of the value regularity input verification information for the value input object information set includes: Determine an object feature information group corresponding to each value input object information in the value input object information set to obtain an object feature information group set; According to the object feature information set, a knowledge graph for the value input object information set is generated, wherein the nodes corresponding to the knowledge graph include: nodes corresponding to the value input object information; For each value input object information, taking the value input object information as the node center, removing nodes and edges that are separated from the value input object information by more than the target number of edges, and obtaining a cropped graph corresponding to the value input object information; For the target cropped atlas in the obtained cropped atlas set, perform the following generation steps: Determine at least one cropped graph in the remaining cropped graph subsets that has the same edge as the target cropped graph; Determining a graph association score corresponding to each cropped graph in the at least one cropped graph according to the number of identical edges and the edge information level of the identical edges; Removing the cropped atlas having an atlas association score less than a target value from the at least one cropped atlas to obtain a cropped atlas set after removal; Comparing the input difference information of the removed cropped atlas set and the target cropped atlas to obtain a comparison result; Removing the target cropped atlas from the cropped atlas set to obtain a cropped atlas subset; Using the cropped atlas subset as the cropped atlas set, reselecting the target cropped atlas from the cropped atlas set, and continuing to execute the generating step; Based on the obtained comparison result set, value regularity input verification information is generated; generating at least one value investment abnormal object information according to the obtained investment difference information set and the value regularity investment verification information; Removing the at least one abnormal value investment object information from the value investment object information set to obtain a value investment object information set after removal; Filter out the value investment object information set after removal, and the value investment object information whose matching degree with the corresponding information of the value subcontracting information meets the preset matching condition as the target value investment object information; Generate a subcontract text for the target value investment object information and the value subcontract information; The subcontracted text is printed to obtain a printed text, and the printed text is sent to an information receiving terminal corresponding to the target value investment object information.

2. The method according to claim 1, wherein: The value input information in the value input information group includes: a plurality of expected value input information for a plurality of elements, the value input information group includes: a first value input information group and a second value input information group; and The generating of the investment difference information representing the value investment information groups corresponding to the two value investment object information includes: Determine an element level corresponding to each element of the plurality of elements; According to the element level corresponding to each element, the multiple elements are divided into element sets, wherein the element levels corresponding to the elements in each element set are the same; For each element set in the element set group, the following first information determination step is performed: Determine a first value input information subgroup corresponding to the element set in the first value input information group and a second value input information subgroup corresponding to the element set in the second value input information group; Determining an element difference interval corresponding to the element set; Determine the information difference between each first value input information in the first value input information subgroup and each second value input information in the second value input information subgroup to obtain an information difference subgroup; generating determination information indicating whether each information difference in the information difference subgroup is within the element difference interval, and obtaining a determination information subgroup; Determining the information proportion corresponding to the target determination information in the determination information subgroup, wherein the target determination information represents that the information difference is not within the element difference interval; The input difference information is generated according to the obtained information proportion group.

3. The method according to claim 2, wherein: The generating of the subcontract text for the target value investment object information and the value subcontract information includes: Obtain a value selection template for the value sub-packaging information; Fill the target value investment object information and value selection related information into the corresponding position in the value selection template to obtain a filled template; Performing text verification on the filled template to obtain a verification result; In response to determining that the verification result indicates that the filled template is correct, the filled template is used as a sub-package file.

4. The method according to claim 3, wherein: The generating of value regularity input verification information according to the obtained comparison result set includes: Determining object contact information between each value input object information in the value input object information set according to the comparison result set; Generate at least one directed acyclic graph for the object contact information, wherein the nodes in the directed acyclic graph are value investment object information, and the arrows in the directed acyclic graph represent object value investment relationships; For each directed acyclic graph in the at least one directed acyclic graph, the following information generation step is performed: Determining a value input information group corresponding to the directed acyclic graph; Determine value input difference information corresponding to each value input information in the value input information group; Generating verification information indicating whether there is value regularity investment in the value investment object information subset corresponding to the directed acyclic graph according to the value investment difference information; Based on the at least one verification information obtained, value regularity input verification information is generated.

5. A text printing device, comprising: An acquisition unit is configured to acquire a value subcontracting information set corresponding to a target value delivery project; The execution unit is configured to perform the following generation steps for each value sub-packaging information in the value sub-packaging information set: determine the value input object information set corresponding to the value sub-packaging information; for each two value input object information in the value input object information set, generate the input difference information representing the value input information groups corresponding to the two value input object information, wherein the value input information in the value input information group includes: multiple value expected input information for multiple elements, the value input information group includes: a first value input information group and a second value input information group; and the generating of the input difference information representing the value input information groups corresponding to the two value input object information includes: Each of the multiple pieces of first expected value investment information corresponding to the first value investment information group is subjected to standardization processing to generate first standardized information to obtain a first standardized information set; each piece of first standardized information in the first standardized information set is subjected to square processing to generate a first square processing result to obtain a first square processing result set; each first square processing result in the first square processing result set is subjected to weighted sum processing to obtain a first weighted sum result; the first weighted sum result is subjected to square root processing to obtain a first square root processing result; each piece of second expected value investment information in the multiple pieces of second expected value investment information corresponding to the second value investment information group is subjected to standardization processing to generate first standardized information to obtain a first standardized information set; each piece of first standardized information in the first standardized information set is subjected to square processing to generate a first square processing result to obtain a first square processing result; each piece of first standardized information in the first standardized information set is subjected to weighted sum processing to obtain a first weighted sum result; each piece of first weighted sum result is subjected to square root processing to obtain a first square root processing result; each piece of The method comprises the steps of: performing square processing on each second standardized information in the second standardized information set to generate a second square processing result and obtaining a second square processing result set; performing weighted sum processing on each second square processing result in the second square processing result set to obtain a second weighted summation result; performing square root processing on the second weighted summation result to obtain a second square root processing result; multiplying the first square root processing result and the second square root processing result to obtain a first multiplication result; correspondingly multiplying the plurality of first value expected investment information and the plurality of second value expected investment information to obtain a plurality of second multiplication results; and performing square root processing on the plurality of second weighted summation results to obtain a second weighted summation result. The second multiplication result is added to obtain an addition result; the first multiplication result is divided by the addition result to obtain a first division result; the first division result is subjected to arc cosine processing to obtain an arc cosine processing result; the arc cosine processing result is divided by the first numerical value to obtain a second division result; the second numerical value is subtracted from the second division result to obtain a subtraction result as input difference information; and value regularity input verification information for the value input object information set is generated, wherein the generating of the value regularity input verification information for the value input object information set includes: determining the object feature information group corresponding to each value input object information in the value input object information set to obtain an object feature information group set;According to the object feature information set, a knowledge graph for the value input object information set is generated, wherein the nodes corresponding to the knowledge graph include: nodes corresponding to the value input object information; for each value input object information, taking the value input object information as the node center, removing the nodes and edges separated from the value input object information by more than a target number of edges, to obtain a cropped graph corresponding to the value input object information; for the target cropped graph in the obtained cropped graph set, executing the following generation steps: determining at least one cropped graph in the remaining cropped graph subsets that has the same edges as the target cropped graph; determining the graph association score corresponding to each cropped graph in the at least one cropped graph according to the number of the same edges and the edge information level of the same edges; removing the cropped graphs whose graph association scores are less than the target value from the at least one cropped graph, to obtain a cropped graph set after removal; comparing the input difference information between the cropped graph set after removal and the target cropped graph, to obtain a comparison result; and The target cropping map is removed from the cropping map set to obtain a cropping map subset; the cropping map subset is used as the cropping map set, and the target cropping map is reselected from the cropping map set, and the generation step is continued; value regularity input verification information is generated according to the obtained comparison result set; at least one value input abnormal object information is generated according to the obtained input difference information set and the value regularity input verification information; the at least one value input abnormal object information is removed from the value input object information set to obtain a value input object information set after removal; the value input object information whose matching degree with the corresponding information of the value sub-packaging information meets the preset matching condition is selected from the value input object information set after removal as the target value input object information; a sub-packaging text for the target value input object information and the value sub-packaging information is generated; the sub-packaging text is printed to obtain a printed text, and the printed text is sent to the information receiving terminal corresponding to the target value input object information. ; 6. An electronic device comprising: one or more processors; a storage device having one or more programs stored thereon, When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 4.

7. A computer readable medium having a computer program stored thereon, wherein: When the program is executed by a processor, the method according to any one of claims 1 to 4 is implemented.

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