A distributed management method and related equipment for electronic passports

Abstract

The present invention provides a distributed management method and related equipment for an electronic passport, which is applied to the field of data processing technology. The present application obtains target safe deposit box information and target user information; processes the target safe deposit box information based on the target user information to generate physical attribute information of the target safe deposit box and electronic passport information; processes the electronic passport information to generate identification information of the electronic passport and identity attribute information of the electronic passport; obtains an initial electronic passport warning model that matches the identification information of the electronic passport and a training data set that matches the initial electronic passport warning model; processes the initial electronic passport warning model based on the training set and the verification set to generate a target electronic passport warning model; processes the identity attribute information of the electronic passport, the physical attribute information of the target safe deposit box and the attribute information of the target user based on the target electronic passport warning model to generate electronic passport warning information.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a distributed management method of an electronic passport and related equipment. Background Art

[0002] In many cases, it is necessary to centrally manage a large number of certificates and licenses. For example, the state stipulates that the passports of people traveling abroad on official business are not kept by individuals, but are managed by relevant departments. In recent years, with the increase in the number of people traveling abroad on official business, the workload of relevant departments in checking, collecting and keeping official passports has increased dramatically.

[0003] In order to improve the asset management efficiency of traditional storage cabinets, the status of items stored in the storage cabinets is grasped in real time, the flow of assets is accurately grasped, the intelligent, scientific and automated management of storage cabinets is realized, the loss of assets caused by poor asset management is effectively controlled, and management efficiency is improved.

[0004] However, since the design of each storage location in the storage cabinet is exactly the same, different asset files are stored mixedly, which is not conducive to the long-term preservation of the asset files and is prone to damage. At the same time, it takes a lot of time to find a certain asset file, which is inefficient.

[0005] It should be noted that the information disclosed in the above background technology section is only used to enhance the understanding of the background of the present disclosure, and therefore may include information that does not constitute the prior art known to ordinary technicians in the field. Summary of the invention

[0006] The purpose of this application is to provide a distributed management method and related equipment for electronic passports, which at least to some extent overcome the problems existing in the prior art, and by processing the passport usage information of the target user and the physical property information of the target safe deposit box, a specific passport storage strategy is formulated, and the passport is allocated to a suitable safe deposit box to ensure that the passport can be stored in a timely and safe manner, and the relevant information on the passport storage and any important changes are notified to the target users to ensure that they understand the status of their passports and the current location information.

[0007] Other features and advantages of the present application will become apparent from the following detailed description, or may be learned in part by the practice of the present invention.

[0008] According to one aspect of the present application, a distributed management method for electronic passports is provided, comprising: obtaining target safe deposit box information and target user information; processing the target safe deposit box information based on the target user information to generate physical property information of the target safe deposit box and electronic passport information, wherein the physical property information of the target safe deposit box includes the number of slots provided in the target safe deposit box, and the electronic passport information includes the location information of the target passport and the storage time of the target passport; processing the electronic passport information to generate identification information of the electronic passport and identity attribute information of the electronic passport, wherein the identification information is used to characterize that the electronic passport is in an abnormal state; obtaining an initial electronic passport warning model matching the identification information of the electronic passport and an initial electronic passport warning model matching the identification information of the electronic passport. The method comprises the steps of: processing the training data set that matches the initial electronic passport warning model, wherein the training data set includes passport usage information and safe deposit box information of other users; processing the training data set based on preset processing rules to generate a training set and a validation set; processing the initial electronic passport warning model based on the training set and the validation set to generate a target electronic passport warning model; processing the target user information to generate attribute information of the target user, wherein the attribute information of the target user is used to characterize the passport usage information of the target user; processing the identity attribute information of the electronic passport, the physical attribute information of the target safe deposit box and the attribute information of the target user based on the target electronic passport warning model to generate electronic passport warning information.

[0009] In one embodiment of the present application, a training data set is processed based on preset processing rules to generate a training set and a validation set, including: processing the safe deposit box information and the passport usage information of the other users to generate passport warning influencing factors, wherein the passport warning influencing factors are features that affect passport management; processing the passport warning influencing factors to generate an original feature library; processing the original feature library to generate a number of feature data sets, and generating a training set and a validation set based on the several feature data sets.

[0010] In one embodiment of the present application, the initial electronic passport warning model is processed based on the training set and the validation set to generate a target electronic passport warning model, including: obtaining any number of data features in the feature data set; generating adjacent features based on the distance between the any number of data features and other numbers of data features of the same category, wherein the adjacent features include a preset number of the any number of data features; determining a sampling ratio based on the number of each data feature in the training set; determining a sampling ratio based on the sampling ratio; sampling the adjacent features based on the sampling ratio to generate a preset number of sampling features; generating multiple data groups based on any data feature and each sampling feature, wherein each data group includes a preset number of data samples, wherein each data group includes a preset number of data samples, wherein at least one data sample includes identification information; training the initial electronic passport warning model based on the data samples in the multiple data groups to generate a trained electronic passport warning model; processing the trained electronic passport warning model based on the test set to generate a test result; if the data sample containing the identification information in the test result indicates that the electronic passport is in an abnormal state, the trained electronic passport warning model is used as the target electronic passport warning model.

[0011] In one embodiment of the present application, the target user information is processed to generate attribute information of the target user, including: performing data cleaning processing on the target user information to generate travel plan information of the target user and physical condition information of the target user, wherein the travel plan information of the target user includes the target user's ticket information, the target user's accommodation information and the target user's destination information; processing the target user's ticket information and the target user's accommodation information to generate a travel impact factor of the target user; processing the target user's destination information and the target user's physical condition information to generate a physical impact factor of the target user; processing the travel impact factor and the physical impact factor to generate the attribute information of the target user, wherein the attribute information of the target user is used to characterize the passport usage information of the target user.

[0012] In one embodiment of the present application, the identity attribute information of the electronic passport, the physical attribute information of the target safe deposit box and the attribute information of the target user are processed based on the target electronic passport warning model to generate electronic passport warning information, including: processing the identity attribute information of the electronic passport and the attribute information of the target user based on the target electronic passport warning model to generate the storage information of the target passport; processing the storage information of the target passport and the physical attribute information of the target safe deposit box based on the target electronic passport warning model to generate the passport storage value of the target safe deposit box; processing the passport storage value of the target safe deposit box based on the dynamic passport storage value of the target safe deposit box to generate electronic passport warning information.

[0013] In one embodiment of the present application, the storage information of the target passport and the physical property information of the target safe deposit box are processed based on the target electronic passport warning model to generate a passport storage value of the target safe deposit box, including: processing the property information of the target user based on the target electronic passport warning model to generate the passport storage priority of the target user; processing the physical property information of the target safe deposit box and the passport storage priority of the target user based on the target electronic passport warning model to respectively generate the remaining storage time of the passport in each slot and the passport pre-storage information within a preset time period, wherein the passport pre-storage information within the preset time period is set based on the passport storage priority of the target user; processing the remaining storage time of the passport in each slot and the passport pre-storage information within the preset time period to generate the passport storage value of the target safe deposit box.

[0014] In one embodiment of the present application, the passport storage value of the target safe deposit box is processed based on the dynamic passport storage value of the target safe deposit box to generate electronic passport warning information, including: obtaining real-time slot status information of the target safe deposit box; processing the real-time slot status information of the target safe deposit box to generate dynamic passport storage information of the target safe deposit box; processing the dynamic passport storage information of the target safe deposit box to generate the dynamic passport storage value of the target safe deposit box; if the dynamic passport storage value of the target safe deposit box is less than the passport storage value of the target safe deposit box, generating safe deposit box warning information, wherein the safe deposit box warning information is used to indicate that no new electronic passport information is received within a preset time period.

[0015] Another aspect of the present application is a distributed management device for electronic passports, characterized in that it includes: an acquisition module for acquiring target safe deposit box information and target user information; acquiring an initial electronic passport warning model that matches the identification information of the electronic passport and a training data set that matches the initial electronic passport warning model, wherein the training data set includes passport usage information and safe deposit box information of other users; a processing module for processing the target safe deposit box information based on the target user information to generate physical attribute information of the target safe deposit box and electronic passport information, wherein the physical attribute information of the target safe deposit box includes the number of slots provided in the target safe deposit box, and the electronic passport information includes the location information of the target passport and the storage time of the target passport; The electronic passport information is processed to generate identification information of the electronic passport and identity attribute information of the electronic passport, wherein the identification information is used to characterize that the electronic passport is in an abnormal state; the training data set is processed based on a preset processing rule to generate a training set and a verification set; the initial electronic passport warning model is processed based on the training set and the verification set to generate a target electronic passport warning model; the target user information is processed to generate attribute information of the target user, wherein the attribute information of the target user is used to characterize the passport usage information of the target user; the identity attribute information of the electronic passport, the physical attribute information of the target safe deposit box and the attribute information of the target user are processed based on the target electronic passport warning model to generate electronic passport warning information.

[0016] According to another aspect of the present application, an electronic device is characterized in that it includes: a first processor; and a memory for storing executable instructions of the first processor; wherein the first processor is configured to execute the above-mentioned distributed management method of electronic passports by executing the executable instructions.

[0017] According to another aspect of the present application, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a second processor, the distributed management method of the electronic passport is implemented.

[0018] According to another aspect of the present application, a computer program product is provided, comprising a computer program, wherein the computer program implements the above-mentioned distributed management method of electronic passports when executed by a third processor.

[0019] The present application provides a distributed management method and related equipment for electronic passports, wherein a server obtains target safe deposit box information and target user information; the target safe deposit box information is processed based on the target user information to generate physical attribute information of the target safe deposit box and electronic passport information, wherein the physical attribute information of the target safe deposit box includes the number of slots set in the target safe deposit box, and the electronic passport information includes the location information of the target passport and the storage time of the target passport; the electronic passport information is processed to generate identification information of the electronic passport and identity attribute information of the electronic passport, wherein the identification information is used to indicate that the electronic passport is in an abnormal state; an initial electronic passport warning model matching the identification information of the electronic passport is obtained; The training data set matching the initial electronic passport warning model is obtained by processing the training data set based on the preset processing rules to generate a training set and a validation set; the initial electronic passport warning model is processed based on the training set and the validation set to generate a target electronic passport warning model; the target user information is processed to generate the target user's attribute information, wherein the target user's attribute information is used to characterize the target user's passport usage information; the electronic passport's identity attribute information, the target safe deposit box's physical attribute information and the target user's attribute information are processed based on the target electronic passport warning model to generate the electronic passport warning information. By processing the target user's passport usage information and the target safe deposit box's physical attribute information, a specific passport storage strategy is formulated to allocate the passport to a suitable safe deposit box to ensure that the passport can be stored in a timely and safe manner, and the target user is notified of the relevant information and any important changes in the passport storage to ensure that they understand the status of their passports and the current location information.

[0020] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 A flow chart showing a distributed management method of an electronic passport provided by an embodiment of the present application;

[0022] Figure 2 A schematic diagram of the structure of a distributed management device for an electronic passport provided in an embodiment of the present application is shown;

[0023] Figure 3 A schematic diagram of the structure of an electronic device provided by an embodiment of the present application is shown;

[0024] Figure 4 A schematic diagram of a storage medium provided in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0025] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0026] Combine the following Figure 1 The distributed management method of the electronic passport according to the exemplary embodiment of the present application is described. It should be noted that the following application scenarios are only shown to facilitate understanding of the spirit and principle of the present application, and the embodiments of the present application are not limited in this respect. On the contrary, the embodiments of the present application can be applied to any applicable scenario.

[0027] In one implementation, the present application also proposes a distributed management method for electronic passports and related equipment. Figure 1 The following schematically shows a flow chart of a distributed management method of an electronic passport according to an embodiment of the present application. Figure 1 As shown, the method is applied to a server, comprising:

[0028] S101, obtaining target safe deposit box information and target user information.

[0029] In one embodiment, the target safe is provided with multiple slots inside the cabinet, each slot has an electronic antenna and coil built in, which is used to wirelessly communicate with the RFID chip built in the passport to read the passport information. In addition, the safe is also equipped with a safety lock and monitoring equipment to ensure the safety of the passport. The target user information includes the target user's travel, physical examination, work and other different places and types of data in different time periods, and the content required by the user can be filtered according to actual needs.

[0030] S102: Process the target safe deposit box information based on the target user information to generate physical property information and electronic passport information of the target safe deposit box.

[0031] In one implementation, the user places the passport in the slot of the smart safe, and the electronic antenna and coil in the slot automatically read the passport information and send the information to the target server, thereby obtaining the electronic passport information related to the target user. Specifically, the physical attribute information of the target safe includes the number of slots set in the target safe, and the electronic passport information includes the location information of the target passport and the storage time of the target passport. For example, in which cabinet is the target passport placed, and in which slot of the cabinet, the passport can be accurately located through RFID technology, and the administrator can quickly find the storage location of the passport. In addition, the system also supports map navigation function, which is convenient for users to quickly find the smart safe.

[0032] S103, processing the electronic passport information to generate electronic passport identification information and electronic passport identity attribute information.

[0033] In one embodiment, the identity attribute information of an electronic passport refers to data stored in the electronic passport chip for verifying the identity of the holder. Specifically, the electronic passport will contain the passport's validity period information, which is key data to determine whether the passport is still valid. Although the electronic passport itself does not store visa information, the visa location may refer to the place where the passport holder applied for a visa or the destination allowed by the visa. Electronic passports contain a variety of anti-counterfeiting features, such as embedded chips, laser engraving, holograms, UV-sensitive inks, etc., which help prevent counterfeiting and fraud.

[0034] The identification information is used to indicate that the electronic passport is in an abnormal state. The abnormal state may be that the validity period of the electronic passport has expired, the target passport has been placed in a wrong location or has been moved, resulting in the actual storage time of the electronic passport being less than the preset storage time.

[0035] S104, obtaining an initial electronic passport warning model that matches the identification information of the electronic passport and a training data set that matches the initial electronic passport warning model.

[0036] In one implementation, the training data set includes passport usage information and safe deposit box information of other users.

[0037] In the electronic passport management system, obtaining the initial electronic passport warning model and the corresponding training data set that match the electronic passport identification information is an important step in building an effective security monitoring system. Specifically, the identification information is extracted from the electronic passport, which may include the passport holder's biometric data, passport validity period, place of issuance, etc. According to the extracted identification information, the corresponding initial electronic passport warning model is matched, which is used to monitor and analyze possible security risks or abnormal behaviors.

[0038] Obtain training datasets that match the initial electronic passport warning model. These datasets are crucial for model learning and optimization. The training datasets contain information about other users’ passport usage, such as travel records, visa application history, etc. This information helps the model understand normal usage patterns. The training datasets may also include safe deposit box information, such as the storage location and access records of passports. This information is very important for monitoring the physical security of passports. Integrate datasets from different sources to form a comprehensive training dataset so that the model can learn and identify anomalies from multiple dimensions.

[0039] S105, processing the training data set based on preset processing rules to generate a training set and a validation set.

[0040] In one implementation, the safe deposit box information and other users' passport usage information are processed to generate passport warning influencing factors, wherein the passport warning influencing factors are features that affect passport management. The safe deposit box usage records are analyzed, including the passport access time and frequency and the safe deposit box security event records, and the passport usage information of other users, such as travel purpose, destination, travel frequency, etc., are studied to identify usage patterns and potential risk points, and the factors that may affect passport security and management are extracted based on the safe deposit box information and passport usage information.

[0041] Conduct risk assessment on the extracted influencing factors to determine which factors may lead to passport loss, theft or abuse. Use machine learning algorithms to identify abnormal usage patterns, such as access behavior at abnormal times or frequent international travel. Apply association rule learning technology to discover potential connections between different factors, such as the association between specific travel purposes and safe deposit box security incidents. Analyze time series data of passport use and safe deposit box operations to identify periodic or trend risk patterns, integrate influencing factors into early warning models, and build a system that can predict and manage passport security risks.

[0042] Process the factors affecting passport warnings to generate the original feature library, process the original feature library to generate several feature data sets, and generate training sets and validation sets based on several feature data sets. In data analysis and machine learning, select the most useful features for model prediction from a large number of available features, extract features that can represent the key attributes of the data from the original data, reduce the number of features, and try to retain the original information of the data and the predictive ability of the model, optimize the feature set to improve the performance of the model and reduce the computational complexity, including steps such as feature selection, extraction and conversion, to build a better model input.

[0043] S106, processing the initial electronic passport warning model based on the training set and the validation set to generate a target electronic passport warning model.

[0044] In one embodiment, any number of data features in a feature data set are obtained, and data features are extracted from the feature data set to reflect the usage of the electronic passport. Specifically, the number of times the electronic passport is read within a certain period of time is counted. A high frequency may indicate normal use, while an abnormally high frequency of use may require attention; the reading records of the electronic passport at different locations are extracted to analyze the travel patterns and habits of the passport holder; the specific time when the electronic passport is read, including the date and time, is recorded to identify abnormal usage patterns, such as frequent use at night; the purpose of travel, such as business, tourism or visiting relatives, is extracted based on the visa information of the electronic passport; the records of the electronic passport at the border inspection, including the time and place of entry and exit, are extracted; the access status of the passport is extracted from the records of the safe deposit box to analyze the security of the safekeeping; if the electronic passport is associated with financial services, relevant transaction records are extracted, such as currency exchange or consumption records; abnormal behavior patterns are identified using machine learning algorithms, such as multiple failed attempts to access in a short period of time; and the anti-counterfeiting features of the electronic passport are checked to see if they are intact, such as whether the chip is damaged or tampered with.

[0045] Through these features, management departments can comprehensively monitor and analyze the use of electronic passports, promptly identify potential security issues, and take corresponding preventive or corrective measures. This helps to improve the security and reliability of the electronic passport system and protect the personal information and travel safety of the holder.

[0046] Based on the distance between any number of data features and other number of data features of the same category, adjacent features are generated, wherein the adjacent features include a preset number of any number of data features; in the field of data analysis and machine learning, generating adjacent features based on the distance between data features is a feature engineering method that aims to discover the relationship and pattern between features. Specifically, a certain number of data features are selected from the feature data set, which can reflect the use of electronic passports, and the distance between any data feature and other data features of the same category is calculated using a distance metric (such as Euclidean distance, Manhattan distance or cosine similarity). Based on the calculated distance, other data features closest to any data feature are determined, and these features are considered to be adjacent, and a preset number is set, that is, the number of data features that are expected to be included in the adjacent feature set. For each data feature, the preset number of data features closest to it is selected to form an adjacent feature set, and the adjacent feature set is analyzed to identify potential relationships and patterns between features, which may be crucial to understanding the use of electronic passports, and the importance of each data feature in the adjacent feature set is evaluated to determine which features are most critical to predicting the target variable.

[0047] If the number of features in the adjacent feature set is too large, it may be necessary to apply dimensionality reduction techniques (such as principal component analysis PCA) to reduce the number of features while retaining important information. The generated adjacent feature set is used to train a machine learning model to predict or classify the use of the e-passport, evaluate the performance of the model, such as accuracy, recall, and F1 score, and optimize the model as needed. It may be necessary to adjust the preset number and distance measurement method multiple times to find the optimal feature set. This approach can better understand the complexity of e-passport usage and improve the predictive ability of the early warning model. This is very important for the security management and risk assessment of e-passports. At the same time, this also helps to improve the model's ability to identify abnormal behavior and ensure the security and reliability of the e-passport system.

[0048] Based on the number of data features in the training set, a sampling ratio is determined; based on the sampling ratio, a sampling ratio is determined; based on the sampling ratio, adjacent features are sampled to generate a preset number of sampling features; based on any data feature and each sampling feature, multiple data groups are generated, wherein each data group contains a preset number of data samples, wherein each data group contains a preset number of data samples, wherein at least one data sample includes identification information.

[0049] In data analysis and machine learning, the sampling ratio and sampling rate are determined based on the number of data features in the training set. By counting the number of each data feature in the training set, the distribution of different features can be understood. The sampling ratio is determined based on the number of data features and the size of the data set. The sampling ratio can help us decide how many samples to extract from each feature. According to the sampling ratio, the specific sampling ratio can be calculated. The sampling ratio is the ratio of the actual number of samples to the total number. The adjacent features are sampled using the sampling ratio to generate a preset number of sampled features. This process ensures the representativeness and diversity of the samples. Through the sampling process, a set of sampled features is generated, which will be used for subsequent data analysis and model training. Multiple data sets are constructed based on any data feature and each sampled feature. Each data set contains a preset number of data samples. Ensure that the samples in each data set are diverse and contain at least one sample with identification information, which helps the model learn the feature performance in different situations. Use these data sets for model training to evaluate the contribution of different features to the prediction target. Use the sampled feature set to train the machine learning model and evaluate the performance of the model through the validation set. According to the results of model training and validation, the sampling ratio and rate may need to be adjusted to optimize the prediction ability of the model. With this approach, large-scale data sets can be processed efficiently while maintaining data quality and model generalization capabilities, helping to identify potential security risks and abnormal behaviors.

[0050] The initial electronic passport warning model is trained based on data samples in multiple data sets to generate a trained electronic passport warning model. The trained electronic passport warning model is processed based on a test set to generate a test result. If the data sample containing identification information in the test result indicates that the electronic passport is in an abnormal state, the trained electronic passport warning model is used as the target electronic passport warning model.

[0051] The initial e-passport warning model is trained using the training data set, so that the model can identify behaviors that are inconsistent with normal usage patterns or potential security threats. The model is tested and optimized through the verification data set to ensure the accuracy and reliability of the model. The trained model is deployed to the real-time monitoring system to continuously monitor the use of e-passports. When the model detects abnormal or suspicious behavior, it generates warning information to prompt relevant departments to conduct further investigation and processing, which can effectively improve the security of the e-passport system, prevent security risks such as forgery and fraud, and ensure the information security and travel convenience of passport holders. At the same time, this also provides a scientific basis and technical support for the management and monitoring of e-passports.

[0052] Set thresholds for the early warning system. When the influencing factors exceed these thresholds, the system will trigger an early warning and implement real-time monitoring. Once a potential risk is detected, the system will automatically respond and notify relevant personnel. Integrate safe deposit box information and passport usage information with other relevant data sources to obtain a more comprehensive view of passport use, conduct in-depth analysis of user behavior, understand the passport usage habits and risk preferences of different user groups, use the analysis results to support the formulation of passport management policies, improve the security and compliance of passport use, and ensure compliance with data security and privacy protection best practices in the process of processing and analyzing data. It can more effectively identify and manage security risks, protect the information security of passport holders, and improve the efficiency and response speed of passport management.

[0053] S107: Process the target user information to generate attribute information of the target user.

[0054] In one implementation, the original data of the target user is cleaned to remove invalid, erroneous or irrelevant information to ensure the accuracy and availability of the data, and the travel plan information of the target user, including ticket information, accommodation information and destination information, is extracted from the cleaned data. The ticket and accommodation information are analyzed in depth to identify factors that may affect travel, such as travel time, flight frequency, accommodation conditions, etc. Based on the processing results of the ticket and accommodation information, travel influencing factors are generated. These factors may include travel distance, travel frequency and accommodation type, that is, the approximate travel time of the target user, including the time of going out by car, and whether the passport needs to be carried frequently on the road. The destination information and physical condition information of the target user are analyzed to identify factors that may affect the health status of the user. According to the processing results of the destination and physical condition information, physical influencing factors such as climate adaptability, disease risk and physical fatigue degree are generated, that is, whether the current physical condition of the target user can support the planned itinerary is judged.

[0055] Combine travel influencing factors and physical influencing factors to generate attribute information of the target user. Use the generated attribute information to characterize the target user's passport usage information, such as business trips, tourism, visiting relatives or other purposes, conduct risk assessments on the target user's travel and physical condition, identify areas that may require special attention, and provide users with personalized travel suggestions and health tips based on the attribute information. Continuously monitor the target user's travel and physical condition information and make necessary updates based on the latest situation.

[0056] The travel influencing factors and physical influencing factors are processed to generate the target user's attribute information, where the target user's attribute information is used to characterize the target user's passport usage information, that is, to determine the purpose of the target user's current trip, so as to facilitate the subsequent adjustment of the target user's passport storage priority. The target user's attribute information is used to characterize the target user's passport usage information, that is, the target user's passport storage time is generated by the target user's actual needs, rather than an unreasonable time set artificially.

[0057] S108, based on the target electronic passport warning model, the identity attribute information of the electronic passport, the physical attribute information of the target safe deposit box and the attribute information of the target user are processed to generate electronic passport warning information.

[0058] In one implementation, the identity attribute information of the electronic passport and the attribute information of the target user are processed based on the target electronic passport warning model to generate the storage information of the target passport, that is, to determine the time when the target passport can be placed in the safe deposit box. The storage information of the target passport and the physical attribute information of the target safe deposit box are processed based on the target electronic passport warning model to generate the passport storage value of the target safe deposit box, and the passport storage value of the target safe deposit box is processed based on the dynamic passport storage value of the target safe deposit box to generate electronic passport warning information, and the remaining number of passports stored in the target safe deposit box and the storage time of different passports are determined. If an abnormality occurs, the electronic passport warning information is generated.

[0059] Extract identity attribute information from the electronic passport, including but not limited to passport validity period, visa information, anti-counterfeiting features, etc. Extract user attribute information based on the target user's travel plan, physical condition, travel purpose, etc. Combine the identity attribute information of the electronic passport with the attribute information of the target user for comprehensive analysis, and use the early warning model to predict the appropriate time to place the target passport in the safe deposit box, taking into account factors such as travel plans and passport usage frequency. Assess the security risks of storing passports, including the possibility of passport loss, theft or abuse. According to the analysis results of the early warning model, formulate a storage strategy to determine the best storage time and conditions for passports. Before predicting the storage time, check the capacity and available space of the safe deposit box to ensure that the passport can be stored safely. Perform the storage operation within the determined time to place the target passport in the safe deposit box, record the storage information of the passport, including the storage time, safe deposit box location, and expected retrieval time, etc., and monitor and track the passports stored in the safe deposit box in real time to ensure the safety of the passports.

[0060] If the early warning model detects any abnormal situation, such as too long storage time or increased security risk, it will generate early warning information in time. During the whole process, it ensures compliance with data privacy protection regulations and protects user information from unauthorized access. Ensure the safe storage of passports and provide timely early warnings when necessary, so as to improve the security and efficiency of passport management. Use early warning information to optimize the use of safe deposit boxes, ensure the security of passports and the reasonable allocation of safe deposit box resources, implement real-time monitoring, ensure the security of passport storage, and promptly detect and respond to potential security threats. Notify relevant managers and users of early warning information in time so that appropriate measures can be taken.

[0061] In another implementation, the target user's attribute information is processed based on the target electronic passport warning model to generate the target user's passport storage priority, extract attribute information from the target user's data, including travel plans, physical condition, travel purpose, etc., analyze the target user's passport usage information, such as business travel, leisure travel, visiting relatives and friends, etc., use the electronic passport warning model to process the user's attribute information, evaluate the security risks and storage requirements related to the passport usage, and generate a storage priority for each user's passport based on the evaluation results of the warning model. The priority may be based on factors such as travel urgency and security risk level.

[0062] Based on the target electronic passport warning model, the physical property information of the target safe deposit box and the passport storage priority of the target user are processed to generate the remaining storage time of the passport in each slot and the passport pre-storage information within the preset time period, wherein the passport pre-storage information within the preset time period is set based on the passport storage priority of the target user, and the security risk of each user's passport is evaluated. High-risk passports may require a higher level of monitoring and a safer storage location. According to the storage priority and security risk assessment results, a specific passport storage strategy is formulated to allocate passports to appropriate safe deposit boxes to ensure that high-priority passports can be stored in a timely and safe manner.

[0063] Monitor passports stored in safe deposit boxes in real time to ensure passport safety and respond to any abnormal situations in a timely manner. Dynamically adjust the storage priority and storage strategy of passports based on real-time monitoring and feedback information, and notify target users of relevant information and any important changes in passport storage to ensure that they understand the status of their passports.

[0064] The remaining storage time of the passports in each slot and the pre-storage information of the passports in the preset time period are processed to generate the passport storage value of the target safe deposit box, that is, to determine how long each passport needs to be stored and whether there are extra slots for the passports. The passport information of each slot in the safe deposit box is collected, including the current storage time and the expected retrieval time, and the pre-storage information of the passports in the preset time period is analyzed to understand the number and time of the passports to be deposited in the safe deposit box. For the passports already in the safe deposit box, the remaining storage time of each passport is calculated, the capacity and current usage of each slot in the safe deposit box are checked, the number of available slots is determined, and the storage demand of the safe deposit box is predicted based on the pre-storage information and the remaining storage time.

[0065] Taking into account the remaining storage time and pre-storage requirements, the target safe deposit box generates the passport storage value, determines the specific storage time for each passport, ensures compliance with user needs and safety regulations, and evaluates whether there are extra slots in the safe deposit box to store new passports. According to the passport storage value, the safe deposit box resource allocation is optimized to ensure passport safety and storage efficiency. If it is found that the safe deposit box capacity is insufficient or a passport has been stored for too long, an early warning message is generated, and the passport storage status and early warning information are promptly notified to relevant users and managers, and the passport storage time, slot usage and early warning information are recorded for tracking and auditing. It can monitor the storage status of passports in real time, predict storage needs, optimize the use of safe deposit boxes, and respond to possible storage problems in a timely manner, improve the intelligent level of passport management, and ensure passport safety and user satisfaction.

[0066] In another embodiment, the real-time slot status information of the target safe deposit box is obtained, and the real-time slot status information of the target safe deposit box is processed to generate dynamic passport storage information of the target safe deposit box. The real-time status information of each slot in the safe deposit box is collected through an electronic monitoring system or a sensor to ensure that the status information obtained from the safe deposit box is synchronized with the data uploaded to the server, and the collected real-time slot status information is processed, including analyzing the current usage and idle status of the slot, and the dynamic passport storage information of the target safe deposit box is generated according to the processed status information, including the storage location and time of each passport.

[0067] Analyze the usage of the safe deposit box, identify the slots with high and low usage frequencies, determine the number and location of free slots currently available in the safe deposit box, count the storage time of each passport in the slot for storage time management, manage the safe deposit box capacity based on dynamic storage information, and ensure the rationality and security of passport storage.

[0068] If it is found that some slots have not been used for a long time or the passport has been stored for too long, an early warning message will be generated. According to the dynamic storage information, the passport storage strategy will be optimized to improve the efficiency of the safe deposit box. The real-time slot status and passport storage information of the safe deposit box will be updated on the user interface for users to query. Real-time monitoring will be implemented to ensure the security of passport storage, timely discover and respond to potential security threats, and record the changes in the slot status of the safe deposit box and the passport storage operation for auditing and tracking. The slot status of the safe deposit box can be grasped in real time, and the passport storage strategy can be adjusted in time to improve the intelligence and automation level of passport management, while ensuring the security of passports and user satisfaction.

[0069] The dynamic passport storage information of the target safe deposit box is processed to generate the dynamic passport storage value of the target safe deposit box. If the dynamic passport storage value of the target safe deposit box is less than the passport storage value of the target safe deposit box, a safe deposit box warning information is generated, wherein the safe deposit box warning information is used to indicate that no new electronic passport information is received within a preset time period.

[0070] Collect the real-time passport storage information of each slot in the target safe, including the number of stored passports, storage time, etc. Calculate the dynamic passport storage value of the target safe based on the real-time information. This may be based on the current number of stored passports and the expected storage time. Compare the dynamic passport storage value with the preset passport storage value of the target safe. If the dynamic passport storage value is less than the preset storage value, it indicates that there is remaining space in the safe, but there may be other risks or abnormal situations. At this time, generate a safe deposit box warning information. The warning information should include the current status of the safe, detailed information on the stored passports, and the reason why the warning is generated. Considering the possibility of not receiving new electronic passport information within the preset time period, the warning information should remind the management personnel to pay attention to this situation.

[0071] The warning information may include suggestions for resource optimization, such as adjusting storage strategies or reallocating safe deposit box space, implementing real-time monitoring to ensure continuous tracking of passport storage within a preset time period, and responding to warning information in a timely manner, notifying relevant managers and users of warning information in a timely manner to ensure that they understand the current status and possible actions of the safe deposit box, and recording all relevant dynamic storage information and warning information for auditing and tracking. Based on the warning information and real-time monitoring results, timely identify and respond to abnormal situations in the safe deposit box, optimize the passport storage strategy, improve the security and reliability of the system, and ensure the safe storage and management of passports.

[0072] In the present application, the server obtains target safe deposit box information and target user information; processes the target safe deposit box information based on the target user information to generate physical property information and electronic passport information of the target safe deposit box, wherein the physical property information of the target safe deposit box includes the number of slots set in the target safe deposit box, and the electronic passport information includes the location information of the target passport and the storage time of the target passport; processes the electronic passport information to generate identification information of the electronic passport and identity attribute information of the electronic passport, wherein the identification information is used to characterize that the electronic passport is in an abnormal state; obtains an initial electronic passport warning model matching the identification information of the electronic passport and a training data set matching the initial electronic passport warning model, wherein the training data set includes passport usage information and safe deposit box information of other users.

[0073] Processing the safe deposit box information and the passport usage information of other users to generate passport warning influencing factors, wherein the passport warning influencing factors are features that affect passport management; processing the passport warning influencing factors to generate an original feature library; processing the original feature library to generate a number of feature data sets, and generating a training set and a verification set based on the number of feature data sets; obtaining any number of data features in the feature data set; generating adjacent features based on the distance between any number of data features and other numbers of data features of the same category, wherein the adjacent features include a preset number of any number of data features; determining a sampling ratio based on the number of each data feature in the training set; determining a sampling ratio based on the sampling ratio; sampling adjacent features based on the sampling ratio to generate a preset number of sampling features; generating multiple data groups based on any data feature and each sampling feature, wherein each data group includes a preset number of data samples, wherein each data group includes a preset number of data samples, wherein at least one data sample includes identification information.

[0074] The initial electronic passport warning model is trained based on data samples in multiple data sets to generate a trained electronic passport warning model; the trained electronic passport warning model is processed based on the test set to generate a test result; if the data sample containing identification information in the test result indicates that the electronic passport is in an abnormal state, the trained electronic passport warning model is used as the target electronic passport warning model; the target user information is cleaned to generate the travel plan information of the target user and the physical condition information of the target user, wherein the travel plan information of the target user includes the ticket information of the target user, the accommodation information of the target user and the destination information of the target user; the ticket information of the target user and the accommodation information of the target user are processed to generate the travel influencing factor of the target user; the destination information of the target user and the physical condition information of the target user are processed to generate the physical condition information of the target user. Influencing factors; processing travel influencing factors and physical influencing factors to generate attribute information of the target user, wherein the attribute information of the target user is used to characterize the passport usage information of the target user, wherein the attribute information of the target user is used to characterize the passport usage information of the target user; based on the target electronic passport early warning model, processing the identity attribute information of the electronic passport and the attribute information of the target user to generate the storage information of the target passport; based on the target electronic passport early warning model, processing the attribute information of the target user to generate the passport storage priority of the target user; based on the target electronic passport early warning model, processing the physical attribute information of the target safe deposit box and the passport storage priority of the target user, respectively generating the remaining storage time of the passport in each slot and the passport pre-storage information within a preset time period, wherein the passport pre-storage information within the preset time period is set based on the passport storage priority of the target user.

[0075] The remaining storage time of the passport in each slot and the pre-storage information of the passport within the preset time period are processed to generate the passport storage value of the target safe deposit box; the real-time slot status information of the target safe deposit box is obtained; the real-time slot status information of the target safe deposit box is processed to generate the dynamic passport storage information of the target safe deposit box; the dynamic passport storage information of the target safe deposit box is processed to generate the dynamic passport storage value of the target safe deposit box; if the dynamic passport storage value of the target safe deposit box is less than the passport storage value of the target safe deposit box, a safe deposit box warning information is generated, wherein the safe deposit box warning information is used to indicate that no new electronic passport information is received within the preset time period. By processing the passport usage information of the target user and the physical property information of the target safe deposit box, a specific passport storage strategy is formulated, and the passport is allocated to a suitable safe deposit box to ensure that high-priority passports can be stored in a timely and safe manner, and the relevant information and any important changes of the passport storage are notified to the target user to ensure that they understand the status of their passports and the current location information.

[0076] In one embodiment, if Figure 2 As shown, the present application also provides a distributed management device for an electronic passport, comprising:

[0077] The acquisition module 201 is used to acquire target safe deposit box information and target user information; acquire an initial electronic passport warning model that matches the identification information of the electronic passport and a training data set that matches the initial electronic passport warning model, wherein the training data set includes passport usage information and safe deposit box information of other users;

[0078] The processing module 202 is used to process the target safe deposit box information based on the target user information to generate physical attribute information and electronic passport information of the target safe deposit box, wherein the physical attribute information of the target safe deposit box includes the number of slots set in the target safe deposit box, and the electronic passport information includes the location information of the target passport and the storage time of the target passport; process the electronic passport information to generate identification information of the electronic passport and identity attribute information of the electronic passport, wherein the identification information is used to indicate that the electronic passport is in an abnormal state; process the training data set based on the preset processing rules to generate a training set and a verification set; process the initial electronic passport warning model based on the training set and the verification set to generate a target electronic passport warning model; process the target user information to generate attribute information of the target user, wherein the attribute information of the target user is used to indicate the passport usage information of the target user; process the identity attribute information of the electronic passport, the physical attribute information of the target safe deposit box and the attribute information of the target user based on the target electronic passport warning model to generate electronic passport warning information.

[0079] In another embodiment of the present application, the processing module 202 is configured to process the training data set based on a preset processing rule to generate a training set and a validation set, including:

[0080] Processing the safe deposit box information and the passport usage information of other users to generate passport warning influencing factors, wherein the passport warning influencing factors are characteristics that affect passport management;

[0081] Processing the passport warning influencing factors to generate an original feature library;

[0082] The original feature library is processed to generate several feature data sets,

[0083] Generate training and validation sets based on several feature datasets.

[0084] In another embodiment of the present application, the processing module 202 is configured to process the initial electronic passport warning model based on the training set and the validation set to generate a target electronic passport warning model, including:

[0085] Obtaining any number of data features in the feature data set;

[0086] Generate adjacent features based on the distance between the any number of data features and other numbers of data features of the same category, wherein the adjacent features include a preset number of the any number of data features;

[0087] Determining a sampling ratio based on the number of each data feature in the training set;

[0088] Based on the sampling ratio, determining a sampling ratio;

[0089] Sampling the adjacent features based on the sampling ratio to generate a preset number of sampling features;

[0090] Based on any data feature and each sampling feature, generating a plurality of data groups, wherein each data group comprises a preset number of data samples, wherein each data group comprises a preset number of data samples, wherein at least one data sample comprises identification information;

[0091] Training the initial electronic passport warning model based on data samples in the plurality of data groups to generate a trained electronic passport warning model;

[0092] Processing the trained electronic passport warning model based on the test set to generate a test result;

[0093] If the data sample containing identification information in the test result indicates that the electronic passport is in an abnormal state, the trained electronic passport early warning model is used as the target electronic passport early warning model.

[0094] In another embodiment of the present application, the processing module 202 is configured to process the target user information to generate attribute information of the target user, including:

[0095] Performing data cleaning processing on the target user information to generate travel plan information of the target user and physical condition information of the target user, wherein the travel plan information of the target user includes ticket information of the target user, accommodation information of the target user and destination information of the target user;

[0096] Processing the target user's ticket information and the target user's accommodation information to generate a travel influencing factor for the target user;

[0097] Processing the destination information of the target user and the physical condition information of the target user to generate a physical influence factor of the target user;

[0098] The travel influencing factor and the physical influencing factor are processed to generate attribute information of the target user, wherein the attribute information of the target user is used to characterize passport usage information of the target user.

[0099] In another embodiment of the present application, the processing module 202 is configured to process the identity attribute information of the electronic passport, the physical attribute information of the target safe deposit box and the attribute information of the target user based on the target electronic passport warning model to generate electronic passport warning information, including:

[0100] Processing the identity attribute information of the electronic passport and the attribute information of the target user based on the target electronic passport early warning model to generate storage information of the target passport;

[0101] Processing the storage information of the target passport and the physical property information of the target safe deposit box based on the target electronic passport early warning model to generate a passport storage value of the target safe deposit box;

[0102] The passport storage value of the target safe deposit box is processed based on the dynamic passport storage value of the target safe deposit box to generate electronic passport warning information.

[0103] In another embodiment of the present application, the processing module 202 is configured to process the storage information of the target passport and the physical property information of the target safe deposit box based on the target electronic passport warning model to generate a passport storage value of the target safe deposit box, including:

[0104] Processing the attribute information of the target user based on the target electronic passport early warning model to generate a passport storage priority for the target user;

[0105] Based on the target electronic passport warning model, the physical property information of the target safe deposit box and the passport storage priority of the target user are processed to generate the remaining storage time of the passport in each slot and the passport pre-storage information within a preset time period, wherein the passport pre-storage information within the preset time period is set based on the passport storage priority of the target user;

[0106] The remaining storage time of the passports in each slot and the pre-storage information of the passports in the preset time period are processed to generate the passport storage value of the target safe deposit box.

[0107] In another embodiment of the present application, the processing module 202 is configured to process the passport storage value of the target safe deposit box based on the dynamic passport storage value of the target safe deposit box to generate electronic passport warning information, including:

[0108] Get real-time slot status information of the target safe deposit box;

[0109] Processing the real-time slot status information of the target safe deposit box to generate dynamic passport storage information of the target safe deposit box;

[0110] Processing the dynamic passport storage information of the target safe deposit box to generate a dynamic passport storage value of the target safe deposit box;

[0111] If the dynamic passport storage value of the target safe deposit box is less than the passport storage value of the target safe deposit box, safe deposit box warning information is generated, wherein the safe deposit box warning information is used to indicate that no new electronic passport information is received within a preset time period.

[0112] The present application embodiment provides an electronic device, such as Figure 3 As shown, the electronic device 3 includes a first processor 300, a memory 301, a bus 302 and a communication interface 303, wherein the first processor 300, the communication interface 303 and the memory 301 are connected via the bus 302; the memory 301 stores a computer program that can be run on the first processor 300, and when the first processor 300 runs the computer program, the distributed management method of the electronic passport provided in any of the aforementioned embodiments of the present application is executed.

[0113] The memory 301 may include a high-speed random access memory (RAM), and may also include a non-volatile memory, such as at least one disk memory. The communication connection between the system network element and at least one other network element is realized through at least one communication interface 303 (which may be wired or wireless), and the Internet, wide area network, local area network, metropolitan area network, etc. may be used.

[0114] The bus 302 may be an ISA bus, a PCI bus, or an EISA bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. The memory 301 is used to store a program, and the first processor 300 executes the program after receiving an execution instruction. The distributed management method of the electronic passport disclosed in any implementation of the embodiment of the present application may be applied to the first processor 300, or implemented by the first processor 300.

[0115] The first processor 300 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the hardware integrated logic circuit or software instructions in the first processor 300. The above-mentioned first processor 300 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a readily available programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present application can be implemented or executed. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in the embodiments of the present application can be embodied as a hardware decoding processor to be executed, or a combination of hardware and software modules in the decoding processor to be executed. The software module can be located in a mature storage medium in the field such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 301, and the first processor 300 reads the information in the memory 301 and completes the steps of the above method in combination with its hardware.

[0116] The electronic device provided in the above-mentioned embodiment of the present application and the distributed management method of the electronic passport provided in the embodiment of the present application are based on the same inventive concept and have the same beneficial effects as the methods adopted, run or implemented by the application programs stored therein.

[0117] The present application embodiment provides a computer-readable storage medium, such as Figure 4 As shown, the computer-readable storage medium stores 401 a computer program, and when the computer program is read and executed by the second processor 402, the distributed management method of the electronic passport as described above is implemented.

[0118] The technical solution of the embodiment of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling an electronic device (which may be an air conditioner, a refrigeration device, a personal computer, a server, or a network device, etc.) or a processor to execute all or part of the steps of the method described in the embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.

[0119] The computer-readable storage medium provided in the above-mentioned embodiment of the present application and the distributed management method of the electronic passport provided in the embodiment of the present application are based on the same inventive concept and have the same beneficial effects as the method adopted, run or implemented by the application program stored therein.

[0120] An embodiment of the present application provides a computer program product, including a computer program, wherein the computer program is executed by a third processor to implement the method described above.

[0121] The computer program product provided in the above-mentioned embodiments of the present application and the distributed management method of the electronic passport provided in the embodiments of the present application are based on the same inventive concept and have the same beneficial effects as the methods adopted, run or implemented by the application programs stored therein.

[0122] It should be noted that, in this application, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or still includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise one..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0123] Each embodiment in the present application is described in a related manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the distributed management method, electronic device, electronic device, and readable storage medium embodiment for evaluating electronic passports, since they are basically similar to the above-mentioned distributed management method embodiment of electronic passports, the description is relatively simple, and the relevant parts can be referred to the partial description of the above-mentioned distributed management method embodiment of electronic passports.

[0124] Although the present application is disclosed as above, the present application is not limited thereto. Any person skilled in the art can make various changes and modifications without departing from the spirit and scope of the present application. Therefore, the protection scope of the present application shall be subject to the scope defined by the claims.

Claims

1. A distributed management method for electronic passports, characterized in that: include: Obtain target safe deposit box information and target user information; Processing the target safe deposit box information based on the target user information to generate physical property information and electronic passport information of the target safe deposit box, wherein the physical property information of the target safe deposit box includes the number of slots provided in the target safe deposit box, and the electronic passport information includes location information of the target passport and storage time of the target passport; Processing the electronic passport information to generate identification information of the electronic passport and identity attribute information of the electronic passport, wherein the identification information is used to indicate that the electronic passport is in an abnormal state; Acquire an initial electronic passport warning model that matches the identification information of the electronic passport and a training data set that matches the initial electronic passport warning model, wherein the training data set includes passport usage information and safe deposit box information of other users; Process the training data set based on preset processing rules to generate a training set and a validation set; Processing the initial electronic passport warning model based on the training set and the validation set to generate a target electronic passport warning model; Processing the target user information to generate attribute information of the target user, wherein the attribute information of the target user is used to represent the passport usage information of the target user; Based on the target electronic passport warning model, the identity attribute information of the electronic passport, the physical attribute information of the target safe deposit box and the attribute information of the target user are processed to generate electronic passport warning information.

2. The method according to claim 1, characterized in that The training data set is processed based on the preset processing rules to generate the training set and the validation set, including: Processing the safe deposit box information and the passport usage information of other users to generate passport warning influencing factors, wherein the passport warning influencing factors are characteristics that affect passport management; Processing the passport warning influencing factors to generate an original feature library; The original feature library is processed to generate several feature data sets, Generate training and validation sets based on several feature datasets.

3. The method according to claim 2, characterized in that The initial electronic passport early warning model is processed based on the training set and the validation set to generate a target electronic passport early warning model, including: Obtaining any number of data features in the feature data set; Generate adjacent features based on the distance between the any number of data features and other numbers of data features of the same category, wherein the adjacent features include a preset number of the any number of data features; Determining a sampling ratio based on the number of each data feature in the training set; Based on the sampling ratio, determining a sampling ratio; Sampling the adjacent features based on the sampling ratio to generate a preset number of sampling features; Based on any data feature and each sampling feature, generating multiple data groups, wherein each data group includes a preset number of data samples, and at least one data sample includes identification information; Training the initial electronic passport warning model based on data samples in the plurality of data groups to generate a trained electronic passport warning model; Processing the trained electronic passport warning model based on the verification set to generate a test result; If the data sample containing identification information in the test result indicates that the electronic passport is in an abnormal state, the trained electronic passport early warning model is used as the target electronic passport early warning model.

4. The method according to claim 1, characterized in that The target user information is processed to generate attribute information of the target user, including: Performing data cleaning processing on the target user information to generate travel plan information of the target user and physical condition information of the target user, wherein the travel plan information of the target user includes ticket information of the target user, accommodation information of the target user and destination information of the target user; Processing the target user's ticket information and the target user's accommodation information to generate a travel influencing factor for the target user; Processing the destination information of the target user and the physical condition information of the target user to generate a physical influence factor of the target user; The travel influencing factor and the physical influencing factor are processed to generate attribute information of the target user, wherein the attribute information of the target user is used to characterize passport usage information of the target user.

5. The method according to claim 4, characterized in that The electronic passport identity attribute information, the target safe deposit box physical attribute information and the target user attribute information are processed based on the target electronic passport warning model to generate electronic passport warning information, including: Processing the identity attribute information of the electronic passport and the attribute information of the target user based on the target electronic passport early warning model to generate storage information of the target passport; Processing the storage information of the target passport and the physical property information of the target safe deposit box based on the target electronic passport early warning model to generate a passport storage value of the target safe deposit box; The passport storage value of the target safe deposit box is processed based on the dynamic passport storage value of the target safe deposit box to generate electronic passport warning information.

6. The method according to claim 5, characterized in that Processing the storage information of the target passport and the physical property information of the target safe deposit box based on the target electronic passport early warning model to generate a passport storage value of the target safe deposit box includes: Processing the attribute information of the target user based on the target electronic passport early warning model to generate a passport storage priority for the target user; Based on the target electronic passport warning model, the physical property information of the target safe deposit box and the passport storage priority of the target user are processed to generate the remaining storage time of the passport in each slot and the passport pre-storage information within a preset time period, wherein the passport pre-storage information within the preset time period is set based on the passport storage priority of the target user; The remaining storage time of the passports in each slot and the pre-storage information of the passports in the preset time period are processed to generate the passport storage value of the target safe deposit box.

7. The method according to claim 6, characterized in that Processing the passport storage value of the target safe deposit box based on the dynamic passport storage value of the target safe deposit box to generate electronic passport warning information includes: Get real-time slot status information of the target safe deposit box; Processing the real-time slot status information of the target safe deposit box to generate dynamic passport storage information of the target safe deposit box; Processing the dynamic passport storage information of the target safe deposit box to generate a dynamic passport storage value of the target safe deposit box; If the dynamic passport storage value of the target safe deposit box is less than the passport storage value of the target safe deposit box, safe deposit box warning information is generated, wherein the safe deposit box warning information is used to indicate that no new electronic passport information is received within a preset time period.

8. A distributed management device for electronic passports, characterized in that: The device comprises: An acquisition module is used to acquire target safe deposit box information and target user information; acquire an initial electronic passport warning model that matches the identification information of the electronic passport and a training data set that matches the initial electronic passport warning model, wherein the training data set includes passport usage information and safe deposit box information of other users; The processing module is used to process the target safe deposit box information based on the target user information to generate physical attribute information and electronic passport information of the target safe deposit box, wherein the physical attribute information of the target safe deposit box includes the number of slots set in the target safe deposit box, and the electronic passport information includes the location information of the target passport and the storage time of the target passport; process the electronic passport information to generate identification information of the electronic passport and identity attribute information of the electronic passport, wherein the identification information is used to indicate that the electronic passport is in an abnormal state; process the training data set based on the preset processing rules to generate a training set and a verification set; process the initial electronic passport warning model based on the training set and the verification set to generate a target electronic passport warning model; process the target user information to generate attribute information of the target user, wherein the attribute information of the target user is used to indicate the passport usage information of the target user; process the identity attribute information of the electronic passport, the physical attribute information of the target safe deposit box and the attribute information of the target user based on the target electronic passport warning model to generate electronic passport warning information.

9. An electronic device, characterized in that: include: a first processor; and a memory for storing executable instructions of the first processor; The first processor is configured to execute the distributed management method of the electronic passport according to any one of claims 1 to 7 by executing the executable instructions.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the second processor, the distributed management method of the electronic passport according to any one of claims 1 to 7 is implemented.

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