A method and system for demediatized management of electronic signatures

Abstract

The application provides a demediatization management method and system of electronic signature, belongs to the technical field of electronic signature, and comprises the following steps: obtaining an electronic signature database in a cloud processor; obtaining first classification features, second classification features and third classification features; classifying signatures in the electronic signature database to obtain signature classification results; generating an electronic signature distribution chain; performing signature extraction code mapping to obtain a signature extraction code distribution chain; obtaining an electronic signature encoding result; and establishing a mapping address for electronic signature mapping call management. The application solves the technical problem that the existing technology cannot classify and extract electronic signatures, thereby resulting in poor electronic signature call management effect. Through the acquisition of the electronic signature distribution chain for the call management of the electronic signature, the technical effect of improving the efficiency of the electronic signature call management and the convenience of obtaining the electronic signature is achieved.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of electronic seals, and particularly relates to a demediatization management method and system for electronic seals. BACKGROUND

[0002] With the rapid development of the Internet, the traditional seal cannot meet the business development needs of enterprises, and the traditional seal has no place to use due to the emergence of electronic contracts. Therefore, another seal in electronic form begins to slowly appear in people's field of vision, that is, the commonly said electronic seal.

[0003] In the prior art, there is a technical problem that the electronic seal calling management effect is poor due to the inability to classify and extract the electronic seal.

[0004] APPLICATION CONTENT

[0005] The application provides a demediatization management method and system for electronic seals, which aims to solve the technical problem that the electronic seal calling management effect is poor due to the inability to classify and extract the electronic seal in the prior art.

[0006] In a first aspect, the application embodiment provides a demediatization management method for electronic seals, which comprises: connecting a seal equipment control terminal, and acquiring an electronic seal database in a cloud processor; analyzing the electronic seal database to acquire first classification features, second classification features and third classification features; classifying the seals in the electronic seal database according to the first classification features, the second classification features and the third classification features to obtain a seal classification result; generating an electronic seal distribution chain according to the seal classification result; performing seal extraction code mapping according to the electronic seal distribution chain to obtain a seal extraction code distribution chain; inputting the seal classification result into a self-encoder for encoding mapping to acquire an electronic seal encoding result; and establishing a mapping address for the electronic seal distribution chain and the seal extraction code distribution chain according to the electronic seal encoding result, which is used for electronic seal mapping calling management.

[0007] In a second aspect, the embodiments of the present application provide an electronic seal demediation management system, comprising: an electronic seal database acquisition module, the electronic seal database acquisition module is configured to connect a stamping device control terminal and acquire an electronic seal database in a cloud processor; a classification feature acquisition module, the classification feature acquisition module is configured to analyze the electronic seal database and acquire first, second and third classification features; an electronic seal classification module, the electronic seal classification module is configured to classify seals in the electronic seal database according to the first, second and third classification features to obtain a seal classification result; an electronic seal distribution chain acquisition module, the electronic seal distribution chain acquisition module is configured to generate an electronic seal distribution chain according to the seal classification result; a seal extraction code mapping module, the seal extraction code mapping module is configured to perform seal extraction code mapping according to the electronic seal distribution chain to obtain a seal extraction code distribution chain; an electronic seal encoding result acquisition module, the electronic seal encoding result acquisition module is configured to input the seal classification result into a self-encoder for encoding mapping to obtain an electronic seal encoding result; and a mapping address establishment module, the mapping address establishment module is configured to establish a mapping address for the electronic seal distribution chain and the seal extraction code distribution chain according to the electronic seal encoding result, and is configured to perform electronic seal mapping call management.

[0008] In a third aspect, the embodiments of the present application provide an electronic device, comprising:

[0009] at least one processor; and

[0010] a memory in communication with the at least one processor; wherein

[0011] the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method of the first aspect.

[0012] By adopting the above technical solution, the technical problem that the electronic seal cannot be classified and extracted in the prior art, thereby resulting in poor electronic seal call management effect, is solved. The electronic seal call management is performed by acquiring the electronic seal distribution chain, the electronic seal call management efficiency is improved, and the technical effect of improving the convenience of obtaining the electronic seal is achieved.

[0013] Further, the seal use request information of the first user is acquired; the identity recognition module is activated according to the seal use request information, wherein the identity recognition module is embedded in the seal equipment control terminal; the first dimension feature and the second dimension feature of the target seal are called according to the identity recognition module, and an identity recognition result is acquired; if the identity recognition result is successful, a seal extraction code is acquired, and the target seal is called by using the seal extraction code.

[0014] By adopting the above technical solution, identity recognition in the electronic seal calling process is realized, and the security of seal extraction is ensured by acquiring the seal extraction code according to the identity recognition result.

[0015] Further, the first user is data-acquired according to the video acquisition device, and a video data set is obtained; the video data set is partitioned and extracted to generate an environment video data set and a user video data set; environment credibility is obtained according to the environment video data set; if the environment credibility is in a preset environment credibility, user identity information is acquired according to the user video data set, and is used for identity authentication.

[0016] By adopting the above technical solution, the credibility of the environment where the first user is located is analyzed, and the security of the identity information of the first user is ensured by identity authentication according to the environment credibility.

[0017] Further, third dimension feature data of the target seal is acquired; whether the target seal is in an abnormal state is judged according to the third dimension feature data; if the target seal is in an abnormal state, abnormal data is collected for prediction, and a prediction time length is obtained, wherein the prediction time length is a time period required for the target seal to change to a normal state; the prediction time length is sent to the first user by the seal equipment control terminal.

[0018] By adopting the above technical solution, the target seal is detected in an abnormal state, the prediction time length is acquired according to the abnormal data, and the effect of facilitating the first user to wait according to the prediction time length and avoiding long waiting is achieved.

[0019] Further, a historical abnormal state set of the target seal is acquired; the abnormal state of the target seal is compared with the historical abnormal state set to obtain a comparison result, wherein the comparison result is in the historical abnormal state set.

[0020] By adopting the above technical solution, the comparison of the abnormal state is performed based on the historical abnormal state set, and the effect of acquiring the prediction time length according to the historical abnormal state is achieved.

[0021] Further, record the use information of each electronic seal in the electronic seal distribution chain; acquire the use information of each physical seal corresponding to each electronic seal; and synchronize the information according to the use information of each electronic seal and the use information of each physical seal.

[0022] By using the above technical solution, the use information of each electronic seal and the use information of each physical seal are synchronized, so as to ensure the consistency of the information and the synchronization of the state of the electronic seal and the physical seal, and improve the reliability of the electronic seal.

[0023] Further, the first classification feature, the second classification feature and the third classification feature are acquired, wherein the first classification feature is a seal permission feature, the second classification feature is a seal category feature, and the third classification feature is a seal state feature; a seal classification tree is built with the first classification feature as a first-level node, the second classification feature as a second-level node, and the third classification feature as a third-level node; and the electronic seal database is input into the seal classification tree for classification to obtain the seal classification result.

[0024] By using the above technical solution, the electronic seal data in the electronic seal database is classified, so as to accurately classify the electronic seal database.

[0025] The beneficial effects of the present application are as follows:

[0026] 1. The present application identifies the identity information of the first user, and then calls the seal according to the identity recognition result, so as to prevent the seal from being called by others and ensure the safe calling of the seal.

[0027] 2. The present application establishes a mapping address for the electronic seal distribution chain and the seal extraction code distribution chain according to the electronic seal coding result, and then performs electronic seal mapping calling management, so as to improve the efficiency of electronic seal calling management, and further improve the convenience of obtaining electronic seal.

[0028] Other features and advantages of the present application will be set forth in the following description, and in part will become apparent to those skilled in the art from the description, or can be learned by practice of the present application. The objects and other advantages of the present application can be achieved and obtained by the structures specifically pointed out in the description and the accompanying drawings. BRIEF DESCRIPTION OF DRAWINGS

[0029] The accompanying drawings are used to provide further understanding of the present application, and constitute a part of the specification, which is used to explain the present application together with the embodiments of the present application, and do not constitute a limitation to the present application. In the drawings:

[0030] Figure 1A flowchart of an electronic seal demediatization management method of an embodiment of the present application is shown in the figure.

[0031] Figure 2 A flowchart of calling a target seal in an electronic seal demediatization management method of an embodiment of the present application is shown in the figure.

[0032] Figure 3 A flowchart of sending a predicted duration in an electronic seal demediatization management method of an embodiment of the present application is shown in the figure.

[0033] Figure 4 A structural diagram of an electronic seal demediatization management system of an embodiment of the present application is shown in the figure.

[0034] Figure 5 A structural diagram of an electronic device of an embodiment of the present application is shown in the figure.

[0035] The reference signs: electronic seal database acquisition module 11, classification feature acquisition module 12, electronic seal classification module 13, electronic seal distribution chain acquisition module 14, seal extraction code mapping module 15, electronic seal encoding result acquisition module 16, mapping address establishment module 17, electronic device 800, processor 801, memory 802, bus 803. DETAILED DESCRIPTION

[0036] In order to make the purpose, technical scheme and advantages of the technical scheme of the present application more clear, the technical scheme of the embodiment of the present application will be described clearly and completely in the following with reference to the drawings of the embodiment of the present application. The same reference signs in the drawings represent the same parts. It should be noted that the described embodiment is part of the embodiment of the present application, not all the embodiments. Based on the described embodiment of the present application, all other embodiments obtained by those skilled in the art without creative labor belong to the scope of protection of the present application.

[0037] Reference Figure 1 The embodiment of the present application proposes an electronic seal demediatization management method, which is applied to an intelligent management system of electronic seal, the system is in communication connection with a cloud processor, and the method comprises:

[0038] Step S100: connecting a stamping device control terminal, and acquiring an electronic seal database in the cloud processor;

[0039] The implementation is specifically: the stamping device control terminal is a terminal device for controlling the stamping device, the cloud processor is a large server based on cloud computing and cloud storage, the stamping device control terminal is connected, and the electronic seal database in the cloud processor is acquired, and the electronic seal database comprises a plurality of electronic seal data.

[0040] Step S200: analyzing the electronic seal database to obtain first classification features, second classification features and third classification features;

[0041] The embodiment is specifically: analyzing the electronic seal database. In simple terms, the electronic seal database contains multiple electronic seal data. The electronic seal data has various features, such as the type of electronic seal data, usage permission, usage scenario, etc. By comparing various features of electronic seal data, the features suitable for managing electronic seals are obtained, thereby obtaining first classification features, second classification features and third classification features. The first classification feature refers to the user permission of the electronic seal. The second classification feature refers to the type of electronic seal, such as for the finance department, business process or approval, etc. The third classification feature refers to the usage state of the seal, which is closed or opened.

[0042] Step S300: classifying the seals in the electronic seal database according to the first classification features, the second classification features and the third classification features to obtain a seal classification result;

[0043] The embodiment is specifically: classifying the seals in the electronic seal database according to the first classification features, the second classification features and the third classification features. First, the seals are classified according to the first classification features to obtain a first classification result. Then, the first classification result is classified according to the second classification features to obtain a second classification result. Finally, the second classification result is classified according to the third classification features to obtain a final seal classification result.

[0044] Step S400: generating an electronic seal distribution chain according to the seal classification result;

[0045] The embodiment is specifically: generating an electronic seal distribution chain according to the seal classification result. In simple terms, each category in the seal classification result corresponds to a chain, and the chains are connected in series to form an electronic seal distribution chain.

[0046] Step S500: performing seal extraction code mapping according to the electronic seal distribution chain to obtain a seal extraction code distribution chain;

[0047] The embodiment is specifically: performing seal extraction code mapping according to the electronic seal distribution chain to obtain a seal extraction code distribution chain. The seal extraction code can be simply understood as a voucher for extracting electronic seals, including a two-dimensional code, a bar code, a data string, etc. That is, each electronic seal has its corresponding seal extraction code, and the electronic seal distribution chain contains multiple electronic seals. By mapping the seal extraction code to the multiple electronic seals on the electronic seal distribution chain, the seal extraction code distribution chain is obtained.

[0048] Step S600: input the seal classification result into a self-encoder for encoding mapping to obtain an electronic seal encoding result;

[0049] The embodiment is specific to: input the seal classification result into a self-encoder for encoding mapping to obtain an electronic seal encoding result. The self-encoder is a tool for encoding the electronic seal. The self-encoder can be considered as a data compression algorithm or a feature extraction algorithm. The data x itself is used as supervision to guide the neural network to learn a mapping relationship h to obtain a reconstruction output y, which is approximately equal to x. The self-encoder can be understood as a neural network that tries to make the output the same as the input. In the embodiment of the application, the seal classification result is used to encode and map the seal, and a mapping relationship between the seal classification result and the electronic seal encoding result is established, that is, each category corresponds to an electronic seal encoding result.

[0050] Step S700: establish a mapping address for the electronic seal distribution chain and the seal extraction code distribution chain according to the electronic seal encoding result, for electronic seal mapping call management.

[0051] The embodiment is specific to: establish a mapping address for the electronic seal distribution chain and the seal extraction code distribution chain according to the electronic seal encoding result, for electronic seal mapping call management. In simple terms, the electronic seal distribution chain and the seal extraction code distribution chain are connected through the electronic seal encoding result. The seal extraction code distribution chain, the electronic seal encoding result, and the electronic seal distribution chain are in a closed loop connection relationship, and the electronic seal is called based on this.

[0052] Further, referring to Figure 2 The step S800 of the embodiment of the application further includes:

[0053] Step S810: obtain the seal use request information of the first user;

[0054] Step S820: activate an identity recognition module according to the seal use request information, wherein the identity recognition module is embedded in the seal equipment control terminal;

[0055] Step S830: call the first-dimensional feature and the second-dimensional feature of the target seal according to the identity recognition module to obtain an identity recognition result;

[0056] Step S840: if the identity recognition result is successful, obtain a seal extraction code, and call the target seal by using the seal extraction code.

[0057] The specific implementation method is as follows: The first user refers to the user of the electronic signature. The system obtains the seal usage request information of the first user, which includes the information of the seal to be used. Based on the seal usage request information, the identity recognition module is activated. The identity recognition module is embedded in the seal-using device control terminal and is used to identify the identity of the first user, including identity verification and department verification, that is, to verify the identity and department of the first user. Based on the identity recognition module, the first-dimensional feature and the second-dimensional feature of the target seal are called. The target seal is the seal that the first user needs to use. The first-dimensional feature is the user permission of the target seal, and the second-dimensional feature is the type of the target seal, such as the type of finance department, business process, approval, etc. Based on the first-dimensional feature and the second-dimensional feature of the target seal, the identity recognition result is obtained. The identity recognition result is the identity verification result and the department verification result. If the identity recognition result is successful, the seal extraction code is obtained. The target seal is called with the seal extraction code. The seal extraction code is the code required to extract the target seal. Only with the seal extraction code can the target seal be called. By using identity verification results to access the seal, the system prevents unauthorized access to the seal and ensures its secure use.

[0058] Furthermore, the system is also communicatively connected to a video acquisition device, and step S900 in this embodiment further includes:

[0059] Step S910: Collect data from the first user using the video acquisition device to obtain a video dataset;

[0060] Step S920: Divide the video dataset into partitions to generate an environmental video dataset and a user video dataset;

[0061] Step S930: Perform credibility identification based on the environmental video dataset to obtain environmental credibility;

[0062] Step S940: If the environment credibility is at a preset environment credibility level, obtain user identity information based on the user video dataset for identity verification.

[0063] The embodiment is specific to: the video acquisition device is used for acquiring the image video of the first user, including a camera, a video camera and the like, data of the first user is acquired according to the video acquisition device, a video data set is obtained, the video data set is a video about the first user, the video data set is partitioned and extracted to generate an environment video data set and a user video data set, the environment data set refers to an environment in which the first user is located, for example, whether there are other personnel beside the first user, the user video data set refers to a video of the first user, for example, a facial image of the first user, environment credibility is obtained according to the environment video data set, which is simply to judge whether the environment in which the first user is located is safe and credible and whether it will cause information leakage, the environment credibility can be quantitatively represented, for example, a number of 1-10 is set to represent the environment credibility, then a preset environment credibility is set, and it is considered that the environment in which the first user is located is safe within the preset environment credibility range, the environment credibility is judged, if the environment credibility is in the preset environment credibility, user identity information is obtained according to the user video data set, which is used for identity verification, which is simply to verify whether the first user has the permission to call the seal according to the image data of the first user, and based on this, the safe calling of the seal is ensured.

[0064] Further, with reference to Figure 3 The step S1000 of the embodiment of the application further includes:

[0065] Step S1010: third-dimensional feature data of the target seal is acquired.

[0066] Step S1020: whether the target seal is in an abnormal state is judged according to the third-dimensional feature data.

[0067] Step S1030: if the target seal is in an abnormal state, abnormal data is acquired for prediction to obtain a prediction time length, wherein the prediction time length is a time period required for the target seal to change to a normal state.

[0068] Step S1040: the prediction time length is sent to the first user by the seal use equipment control terminal.

[0069] The embodiment is specific to: obtaining third-dimensional feature data of the target seal, the third-dimensional feature data being a state of the target seal, such as opening or closing, and then judging whether the target seal is in an abnormal state according to the third-dimensional feature data, the abnormal state possibly failing to call the seal, and the seal needing to be changed to a normal state. If the target seal is in the abnormal state, abnormal data is collected for prediction, and a time needed for the target seal to be converted to the normal state is predicted, so as to obtain a prediction duration, wherein the prediction duration is a time period needed for the target seal to be changed to the normal state. The prediction duration is sent to the first user by the seal device control terminal, so that the first user can wait according to the prediction duration, and long-time waiting and time waste are avoided.

[0070] Further, the collection of the abnormal data for the prediction to obtain the prediction duration further includes:

[0071] Step S1031: obtaining a historical abnormal state set of the target seal.

[0072] Step S1032: comparing the abnormal state in which the target seal is located with the historical abnormal state set to obtain a comparison result, wherein the comparison result is in the historical abnormal state set.

[0073] The embodiment is specific to: obtaining a historical abnormal state set of the target seal, the historical abnormal state set including an abnormal state occurring in a past period of time and a time needed for the abnormal state to be converted to a normal state, comparing the abnormal state in which the target seal is located with the historical abnormal state set to obtain a comparison result, wherein the comparison result is in the historical abnormal state set. In other words, the abnormal state in which the target seal is located is compared and screened in the historical abnormal state set, and a historical abnormal state similar to the abnormal state in which the target seal is located and a time needed for the historical abnormal state to be converted to a normal state are screened and obtained, that is, the comparison result. Based on this, a time needed for the target seal to be changed to the normal state can be predicted.

[0074] Further, the embodiment of the application further includes:

[0075] Step S410: recording usage information of each electronic seal in the electronic seal distribution chain.

[0076] Step S420: obtaining usage information of each physical seal corresponding to each electronic seal.

[0077] Step S430: synchronizing information according to the usage information of each electronic seal and the usage information of each physical seal.

[0078] The embodiment is specific to: recording the use information of each electronic seal in the electronic seal distribution chain, that is, recording the use time, use frequency, user, and the like of the electronic seal; obtaining the use information of each physical seal corresponding to each electronic seal, that is, obtaining the use time, use frequency, user, and the like of the physical seal; and synchronizing the information according to the use information of each electronic seal and the use information of each physical seal, that is, each electronic seal has a corresponding physical seal, and the physical seal and the electronic seal can be used, and the effect is the same. The use information of each electronic seal and the use information of each physical seal need to be synchronized, the information of the electronic seal and the physical seal needs to be kept consistent, and the state needs to be synchronized, so as to improve the reliability of the electronic seal.

[0079] Further, according to the first classification feature, the second classification feature, and the third classification feature, the electronic seal database is classified, and the step S300 of the embodiment of the application further includes:

[0080] In step S310, the first classification feature, the second classification feature, and the third classification feature are obtained, wherein the first classification feature is a seal permission feature, the second classification feature is a seal category feature, and the third classification feature is a seal state feature.

[0081] In step S320, a seal classification tree is built, taking the first classification feature as a first-level node, the second classification feature as a second-level node, and the third classification feature as a third-level node.

[0082] In step S330, the electronic seal database is input into the seal classification tree for classification, and the seal classification result is obtained.

[0083] The embodiment is specific to: obtaining a first classification feature, a second classification feature, and a third classification feature, wherein the first classification feature is a signature authority feature, i.e., a use authority of the signature, such as an allowed user, the second classification feature is a signature category feature, i.e., a use type of the signature, such as a finance department, a business process, an approval, etc., and the third classification feature is a signature state feature, i.e., a use state, such as an opening or a closing, a signature classification tree is built with the first classification feature as a first-level node, the second classification feature as a second-level node, and the third classification feature as a third-level node, in simple terms, the first classification feature is first taken as a first-level node, the signatures are classified according to the first classification feature to obtain a first-layer classification result of the signature classification tree, then the second classification feature is taken as a second-level node, the first classification result is classified according to the second classification feature to obtain a second-layer classification result of the signature classification tree, and finally the third classification feature is taken as a third-level node, the second classification result is classified according to the third classification feature to obtain a third-layer classification result of the signature classification tree, one sub-node of the signature classification tree is an electronic signature of one type, and the electronic signature database is input into the signature classification tree for classification, that is, the electronic signature data in the electronic signature database is traversed in the signature classification tree to obtain a signature classification result.

[0084] Embodiment two

[0085] With reference to Figure 4 Based on the same application concept as the electronic signature demediatization management method in the foregoing embodiment, the present embodiment provides an electronic signature demediatization management system, which is in communication connection with a cloud processor, and includes:

[0086] An electronic signature database acquisition module 11 is configured to connect a stamping device control terminal and acquire an electronic signature database in the cloud processor.

[0087] A classification feature acquisition module 12 is configured to analyze the electronic signature database and acquire a first classification feature, a second classification feature, and a third classification feature.

[0088] An electronic signature classification module 13 is configured to classify signatures in the electronic signature database according to the first classification feature, the second classification feature, and the third classification feature to obtain a signature classification result.

[0089] An electronic signature distribution chain acquisition module 14 is configured to generate an electronic signature distribution chain according to the signature classification result.

[0090] The signature extraction code mapping module 15 is configured to perform signature extraction code mapping according to the electronic signature distribution chain to obtain a signature extraction code distribution chain.

[0091] The electronic signature encoding result acquisition module 16 is configured to input the signature classification result into a self-encoder to perform encoding mapping and obtain an electronic signature encoding result.

[0092] The mapping address establishment module 17 is configured to establish a mapping address for the electronic signature distribution chain and the signature extraction code distribution chain according to the electronic signature encoding result, so as to perform electronic signature mapping call management.

[0093] Further, the system further comprises:

[0094] The seal use request information acquisition module is configured to acquire seal use request information of the first user.

[0095] The identity recognition activation module is configured to activate an identity recognition module according to the seal use request information, wherein the identity recognition module is embedded in the seal equipment control terminal.

[0096] The identity recognition result acquisition module is configured to acquire an identity recognition result according to the first-dimensional feature and the second-dimensional feature of the target seal called by the identity recognition module.

[0097] The seal extraction code acquisition module is configured to acquire a seal extraction code if the identity recognition result is successful, and to call the target seal by using the seal extraction code.

[0098] Further, the system further comprises:

[0099] The video data acquisition module is configured to acquire video data sets of the first user according to the video acquisition device.

[0100] The partition extraction module is configured to perform partition extraction on the video data sets to generate environment video data sets and user video data sets.

[0101] The credibility recognition module is configured to perform credibility recognition according to the environment video data sets to obtain environment credibility.

[0102] An identity information acquisition module is configured to acquire user identity information from the user video data set if the environment credibility is a preset environment credibility, and is configured to perform identity verification.

[0103] Further, the system further comprises:

[0104] A third-dimensional feature data acquisition module is configured to acquire third-dimensional feature data of the target seal.

[0105] An abnormal state judgment module is configured to judge whether the target seal is in an abnormal state according to the third-dimensional feature data.

[0106] A prediction time length acquisition module is configured to acquire abnormal data to make a prediction to obtain a prediction time length if the target seal is in an abnormal state, wherein the prediction time length is a time period required for the target seal to change to a normal state.

[0107] A prediction time length sending module is configured to send the prediction time length to the first user through the seal application device control terminal.

[0108] Further, the system further comprises:

[0109] A historical abnormal state set acquisition module is configured to acquire a historical abnormal state set of the target seal.

[0110] An abnormal state comparison module is configured to compare the abnormal state of the target seal with the historical abnormal state set to obtain a comparison result, wherein the comparison result is a historical abnormal state in the historical abnormal state set.

[0111] Further, the system further comprises:

[0112] An electronic seal use information acquisition module is configured to record use information of each electronic seal in the electronic seal distribution chain.

[0113] A physical seal use information acquisition module is configured to acquire use information of each physical seal corresponding to each electronic seal.

[0114] An information synchronization module is configured to synchronize information according to the use information of each electronic seal and the use information of each physical seal.

[0115] Further, the system further comprises:

[0116] The feature determination module is configured to acquire the first classification feature, the second classification feature and the third classification feature, wherein the first classification feature is a signature permission feature, the second classification feature is a signature category feature, and the third classification feature is a signature state feature;

[0117] The signature classification tree building module is configured to build a signature classification tree with the first classification feature as a first-level node, the second classification feature as a second-level node, and the third classification feature as a third-level node.

[0118] The electronic signature database input module is configured to input the electronic signature database into the signature classification tree for classification to obtain the signature classification result.

[0119] The foregoing embodiment one based on a big data user online security identification method specific example is also applicable to the embodiment one based on a big data user online security identification system, and through the foregoing detailed description of the embodiment one based on a big data user online security identification method, those skilled in the art can clearly know the embodiment one based on a big data user online security identification system, so as to make the description simple and brief. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the related part is described in the method part.

[0120] Embodiment three

[0121] Figure 5 is a schematic diagram according to the third embodiment of the present disclosure, referring to Figure 5 The electronic device 800 in the present disclosure can include a processor 801 and a memory 802.

[0122] The memory 802 is configured to store programs; the memory 802 can include volatile memory (for example, random-access memory (RAM), such as static random-access memory (SRAM), Double Data Rate Synchronous Dynamic Random Access Memory (DDR SDRAM), etc.), and / or non-volatile memory (for example, flash memory). The memory 802 is configured to store computer programs (for example, application programs, functional modules, etc. for implementing the above-described methods), computer instructions, and the like. The computer programs, computer instructions, and the like described above can be stored in one or more memories 802 in a distributed manner. Furthermore, the computer programs, computer instructions, and the like described above can be invoked by the processor 801.

[0123] The computer programs, computer instructions, and the like described above can be stored in one or more memories 802 in a distributed manner. Furthermore, the computer programs, computer instructions, and the like described above can be invoked by the processor 801.

[0124] The processor 801 is configured to execute the computer programs stored in the memory 802, so as to implement various steps in the methods described in the above embodiments.

[0125] For details, refer to the related description in the above method embodiments.

[0126] The processor 801 and the memory 802 can be independent structures, or integrated into an integrated structure. When the processor 801 and the memory 802 are independent structures, the memory 802 and the processor 801 can be coupled and connected through the bus 803.

[0127] The electronic device of the embodiment can execute the technical solutions in the above-described methods, and the specific implementation process and technical principles are the same, which will not be described here again.

[0128] According to embodiments of the present disclosure, the present disclosure further provides an electronic device, a readable storage medium, and a computer program product.

[0129] According to an embodiment of the present disclosure, the present disclosure also provides a computer program product, which comprises a computer program stored in a readable storage medium, at least one processor of an electronic device can read the computer program from the readable storage medium, and the at least one processor executes the computer program to enable the electronic device to perform the scheme provided by any of the above embodiments.

[0130] The basic principles and main features of the present application and the advantages of the present application are shown and described above. Those skilled in the art should understand that the present application is not limited to the above embodiments, and the above embodiments and descriptions in the specification are only to illustrate the principles of the present application. Without departing from the spirit and scope of the present application, various changes and improvements can be made to the present application, and these changes and improvements all fall within the scope of the claimed present application. The scope of protection of the present application is defined by the appended claims and their equivalents.

Claims

1. A method for de-medium management of electronic signatures, characterized by, The method is applied to an intelligent management system of electronic seals, the system is in communication connection with a cloud processor, and the method comprises the following steps: A seal equipment control terminal is connected to obtain an electronic seal database in the cloud processor; The electronic seal database is analyzed to obtain first, second and third classification features; The seals in the electronic seal database are classified according to the first, second and third classification features to obtain a seal classification result; According to the seal classification result, an electronic seal distribution chain is generated, including that each category in the seal classification result corresponds to a chain, and the electronic seal distribution chain is generated by connecting the chains, and the electronic seal distribution chain contains multiple electronic seals; According to the electronic seal distribution chain, a seal extraction code mapping is performed to obtain a seal extraction code distribution chain; The seal classification result is input into a self-encoder for encoding mapping to obtain an electronic seal encoding result; According to the electronic seal encoding result, a mapping address is established between the electronic seal distribution chain and the seal extraction code distribution chain for electronic seal mapping call management.

2. The method of claim 1, wherein, The method further comprises the following steps: Obtain the seal use request information of the first user; According to the seal use request information, an identity recognition module is activated, wherein the identity recognition module is embedded in the seal equipment control terminal; According to the first and second dimensional features of the target seal called by the identity recognition module, an identity recognition result is obtained; If the identity recognition result is successful, a seal extraction code is obtained to call the target seal by the seal extraction code.

3. The method for media-free management of electronic signatures according to claim 2, characterized in that, The system is also in communication connection with a video acquisition device, comprising: According to the video acquisition device, data of the first user is acquired to obtain a video data set; The video data set is partitioned and extracted to generate an environment video data set and a user video data set; According to the environment video data set, a credibility is recognized to obtain an environment credibility; If the environment credibility is within a preset environment credibility, user identity information is obtained from the user video data set for identity verification.

4. The method for media-free management of electronic signatures according to claim 2, characterized in that, The method further comprises the following steps: Obtain third dimensional feature data of the target seal; According to the third dimensional feature data, it is judged whether the target seal is in an abnormal state; If the target seal is in an abnormal state, abnormal data is collected for prediction to obtain a prediction time length, wherein the prediction time length is the time period required for the target seal to change to a normal state; The prediction time length is sent to the first user through the seal equipment control terminal.

5. The method of claim 4, wherein, The method of collecting abnormal data for prediction to obtain a prediction time length further comprises the following steps: Obtain a historical abnormal state set of the target seal; Based on the abnormal state of the target seal, the historical abnormal state set is compared to obtain a comparison result, wherein the comparison result is in the historical abnormal state set.

6. The method of claim 1, wherein the electronic seal is a seal of a ship. The method further comprises the following steps: Record the use information of each electronic seal in the electronic seal distribution chain; Obtain the use information of each physical seal corresponding to each electronic seal; Synchronize information according to the use information of the respective electronic seals and the use information of the respective physical seals.

7. The method of claim 1, wherein the electronic seal is a seal of a ship. Classify the seals in the electronic seal database according to the first classification feature, the second classification feature and the third classification feature, and the method further comprises: ​ Obtain the first classification feature, the second classification feature and the third classification feature, wherein the first classification feature is a seal permission feature, the second classification feature is a seal category feature, and the third classification feature is a seal state feature; Build a seal classification tree with the first classification feature as a first-level node, the second classification feature as a second-level node, and the third classification feature as a third-level node; Input the electronic seal database into the seal classification tree for classification to obtain the seal classification result.

8. An electronic signature de-mediating management system, characterized by, The system is in communication connection with a cloud processor, and the system comprises: An electronic seal database acquisition module, which is used to connect a stamping device control terminal and acquire an electronic seal database in the cloud processor; A classification feature acquisition module, which is used to analyze the electronic seal database and acquire a first classification feature, a second classification feature and a third classification feature; An electronic seal classification module, which is used to classify the seals in the electronic seal database according to the first classification feature, the second classification feature and the third classification feature to obtain a seal classification result; An electronic seal distribution chain acquisition module, which is used to generate an electronic seal distribution chain according to the seal classification result, including: corresponding each category in the seal classification result to a chain, and connecting the chains to generate an electronic seal distribution chain, wherein the electronic seal distribution chain contains multiple electronic seals; A seal extraction code mapping module, which is used to map a seal extraction code according to the electronic seal distribution chain to obtain a seal extraction code distribution chain; An electronic seal encoding result acquisition module, which is used to input the seal classification result into a self-encoder for encoding mapping to acquire an electronic seal encoding result; A mapping address establishment module, which is used to establish a mapping address for the electronic seal distribution chain and the seal extraction code distribution chain according to the electronic seal encoding result, for electronic seal mapping call management.

9. An electronic device, comprising: Comprise: At least one processor; And A memory in communication connection with the at least one processor; wherein The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the method of any one of claims 1-7.

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