A multi-isomorphic third-party esim package standardization adaptation and intelligent scheduling system and method

Abstract

The application provides a multi-isomer third-party eSIM package standardization adaptation and intelligent scheduling system and method, comprising: analyzing the package advantages and package protocols corresponding to each operator, generating an operation adaptation rule library in combination with a preset unified interface specification, supervising the remaining life cycle of the purchased package of a user, inferring the user demand of the user when using the eSIM package in combination with historical use data, screening the package matched with the user demand information in the operation adaptation rule library, and constructing a corresponding adaptation display path to put the package on the shelf, filtering inefficient packages with insufficient display times or insufficient remaining validity period, and updating each operation adaptation rule library, performing multi-dimensional evaluation on the put-on package according to the user demand, recommending the best put-on package to the user according to the evaluation result, avoiding the one-sidedness of the recommendation caused by single-dimensional evaluation, and guaranteeing the scientificity and rationality of the recommended result.

Description

A standardized adaptation and intelligent scheduling system and method for eSIM packages from multiple heterogeneous third parties Technical Field

[0001] This invention relates to the field of intelligent scheduling technology, and in particular to a standardized adaptation and intelligent scheduling system and method for eSIM packages from multiple heterogeneous third parties. Background Technology

[0002] With the rapid development of mobile communication technology, eSIM has been widely used in various scenarios such as smartphones, smart wearable devices, and IoT terminals due to its advantages such as eliminating the need for physical cards, remotely writing operator information, and flexibly switching plans. Currently, there are multiple operators providing eSIM plan services on the market. The eSIM plans of different operators vary significantly in terms of pricing structure, data allowance, validity period, applicable regions, and additional services. Furthermore, the interface protocols and data exchange formats used by each operator are also different, forming a heterogeneous eSIM plan service system.

[0003] In existing technologies, when users choose eSIM plans, they often need to switch back and forth between different operators' service platforms, making it difficult to quickly obtain plan information that meets their needs. Furthermore, existing service platforms lack accurate analysis and prediction of user needs, and cannot proactively recommend suitable plans based on users' historical usage habits and the remaining lifespan of the plan. In addition, there is a lack of effective resource management mechanisms for the listed eSIM plans, with many inefficient plans—such as those with few displays and short remaining validity periods—consuming platform resources and impacting service efficiency. Moreover, the heterogeneity of interfaces among different operators makes the adaptation and integration of plan information difficult, easily leading to data interaction anomalies and non-standard plan display, thus reducing user experience.

[0004] To address the problems in the existing technologies mentioned above, such as the difficulty in adapting eSIM plans, the low accuracy in matching user needs, the low efficiency of resource management, and the lack of intelligent scheduling.

[0005] Therefore, this invention provides a standardized adaptation and intelligent scheduling system and method for eSIM packages from multiple heterogeneous third parties. Summary of the Invention

[0006] This invention provides a standardized adaptation and intelligent scheduling system and method for multiple heterogeneous third-party eSIM packages, overcoming the shortcomings of existing technologies such as difficulty in adapting multiple heterogeneous third-party eSIM packages, inaccurate matching of user needs, inefficient resource management, and unintelligent scheduling.

[0007] This invention provides a standardized adaptation and intelligent scheduling system for eSIM packages from multiple heterogeneous third parties, comprising:

[0008] The third-party adaptation module is used to analyze the package advantages and package agreements of each operator, and generate an operation adaptation rule library for each operator in combination with the preset unified interface specifications.

[0009] The user configuration module is used to monitor the remaining lifespan of a user's purchased plan and, in combination with the user's historical usage data, infer the user's needs when using the eSIM plan.

[0010] The platform service module is used to filter packages that match user needs from the operation adaptation rule library and build corresponding adaptation display paths to put the packages on the shelves.

[0011] The resource management module is used to filter out inefficient packages that have insufficient display times or insufficient remaining validity period within a specified period, and to update the operation adaptation rule library for each package.

[0012] The intelligent scheduling module is used to evaluate the available packages from multiple dimensions based on the user's needs, and recommend the best available package to the user based on the evaluation results.

[0013] In one implementable manner, the third-party adaptation module includes:

[0014] The package identification unit is used to collect full feature information of each operating package of each operator, obtain the identification value of the full feature information of the package under each identification dimension, construct a package profile corresponding to the operating package, and identify the package advantages of the operator in the package profile.

[0015] The protocol parsing unit is used to perform natural language processing on all feature information of the package, filter the package protocol content corresponding to the operating package from the processing result to formulate the first protocol feature, and at the same time obtain the interface protocol content corresponding to the preset unified interface to formulate the second protocol feature.

[0016] The interface specification unit is used to extract the core constraint clauses contained in each of the protocol contents, determine the differences in private interface parameters between different operators by combining the corresponding first protocol features, optimize the differences in private interface parameters according to the second protocol features, and obtain the specification structure protocol corresponding to each operator.

[0017] The rule matching unit is used to construct a knowledge graph of the package corresponding to the operator based on the full feature information of the package, and to connect with the operator in combination with the standard structure protocol, so as to obtain the connection result of each operator and generate the corresponding operation adaptation rule library of the operator.

[0018] One feasible approach also includes:

[0019] The rule verification unit is used to construct a digital communication model between the preset unified interface and all the operators based on the docking results.

[0020] The digital communication model is used to perform logical verification on the operation adaptation rule base. Based on the verification results, the operation adaptation rule base is logically sorted out, and the operation adaptation rules are adjusted and improved.

[0021] In one implementable manner, the user configuration module includes:

[0022] The data processing unit is used to collect the user's purchased package information and user authorization information in the preset unified interface, construct the user's package usage data, construct the user's package usage continuous actions based on the package usage data, and determine the user's usage preferences;

[0023] The periodic analysis unit is used to extend the package usage data using the usage preferences to obtain the user's estimated usage data, and at the same time determine the user's remaining package amount based on the package usage data, and analyze the remaining life cycle of the purchased package using the estimated usage data and the remaining package amount;

[0024] The comprehensive analysis unit is used to obtain the historical data of the user's packages and the usage time periods when the user uses different historical packages, analyze the user's usage score in different usage time periods based on the package advantages of each historical package, and determine the advantage usage weight of each package advantage.

[0025] The demand analysis unit is used to analyze the user's demand bias based on the advantages and weights, and to analyze the user's demand when choosing an eSIM plan next time, in conjunction with the corresponding usage preferences, and to archive the results.

[0026] One feasible approach also includes:

[0027] An archive encryption unit is used to obtain the user requirements corresponding to each user and construct a requirement pool corresponding to each user.

[0028] Identify sudden usage actions of the user in the demand pool, adjust the demand tendency of the user's demand according to the consequences of the sudden usage actions, and feed it back to the demand analysis unit;

[0029] At the same time, each of the aforementioned demand pools is dynamically encrypted.

[0030] In one implementable manner, the platform service module includes:

[0031] The demand analysis unit is used to deduce the estimated operation time range of the user's next package purchase based on the remaining life cycle, and at the same time obtain the marketing promotion package of the corresponding operator within the estimated operation time range, and analyze the first matching degree between the marketing promotion package and the user's demand.

[0032] The deep filtering unit is used to search for target packages with a higher matching degree than the specified matching degree in the corresponding operation adaptation rule library when the first matching degree is lower than the specified matching degree, and to determine the second matching degree corresponding to each target package respectively, and at the same time construct the package connection action between each target package and the purchased package.

[0033] The path generation unit is used to simulate the connection action of each of the above packages, determine the difficulty of changing each target package, construct the package recommendation order in combination with the corresponding second matching degree, and construct the adaptation display path that transmits each target package to the preset unified interface.

[0034] The package listing unit is used to list the main marketing package when the first matching degree is not lower than the specified matching degree, and otherwise to list each target package according to the adapted display path.

[0035] One feasible approach also includes:

[0036] The package management unit is used to construct a set of packages available for each user based on several marketing-promoted packages / target packages corresponding to each user;

[0037] The corresponding set of available packages will be displayed for each user.

[0038] In one implementable manner, the resource management module includes:

[0039] The data statistics unit is used to count the number of times each of the listed packages is listed and the listing period within a specified period, as well as the purchase volume and click volume of each of the listed packages, and to construct the dynamic information of each of the listed packages.

[0040] The package filtering unit is used to obtain the validity period of each of the listed packages, determine the remaining validity period of the listed packages in combination with the current date, filter out the first inefficient packages that do not meet the validity period requirements, and filter out the second inefficient packages that do not meet the recommendation requirements based on the package dynamic information.

[0041] The rule reorganization unit is used to search for the adaptation rule corresponding to each of the inefficient packages in the operation adaptation rule library, determine the rule relationship between each adaptation rule and the operation adaptation rule library, remove the adaptation rule, and then reorganize the operation adaptation rule library using the rule relationship.

[0042] The rule update unit is used to monitor the newly launched packages of the corresponding operator in real time, transmit the newly launched packages to the preset unified interface for standardization processing, and update the operator adaptation rule library according to the processing results.

[0043] In one implementable manner, the intelligent scheduling module includes:

[0044] The indicator construction unit is used to identify the demand semantics corresponding to each user demand, perform cluster analysis on the demand semantics to obtain several demand sets corresponding to the operator, and construct corresponding dimensional evaluation indicators based on the target demand set with a demand degree higher than a specified value.

[0045] The evaluation execution unit is used to evaluate the listed packages using each of the aforementioned dimension evaluation indicators, obtain the dimension evaluation results of each listed package under different dimensions, and construct the evaluation view corresponding to each listed package.

[0046] The package filtering unit is used to select the best available package with the highest overall score from the evaluation view. When the user enters the purchase interface, the best available package is given priority.

[0047] This invention provides a method for standardized adaptation and intelligent scheduling of eSIM packages from multiple heterogeneous third parties, including:

[0048] Step 1: Analyze the advantages and agreements of each operator's packages, and generate an operation adaptation rule library for each operator based on the preset unified interface specifications;

[0049] Step 2: Monitor the remaining lifespan of the user's purchased plan and, based on the user's historical usage data, infer the user's needs when using the eSIM plan;

[0050] Step 3: Filter the packages that match the user's needs from the operation adaptation rule library, and build the corresponding adaptation display path to put the packages on the shelves;

[0051] Step 4: Filter out inefficient packages with insufficient display counts or insufficient remaining validity period within the specified period, and update the operation adaptation rule library for each package.

[0052] Step 5: Evaluate the available packages from multiple dimensions based on the user's needs, and recommend the best available package to the user based on the evaluation results.

[0053] The beneficial effects achievable by this invention are as follows: To optimize the entire process of eSIM package adaptation from standardized matching to precise recommendation, improving package adaptation efficiency, user demand matching accuracy, platform resource utilization efficiency, and user selection experience, firstly, through in-depth analysis of the advantages and protocols of various operators' packages, and combined with a pre-defined unified interface specification, a dedicated operator adaptation rule library is generated. This achieves standardized processing of heterogeneous package information and interface protocols from different operators, providing a standardized data foundation for subsequent package selection, listing, and scheduling. Then, by monitoring the remaining lifecycle of purchased packages and combining historical usage data to infer user needs, it can accurately capture users' personalized package requirements, predict when users will change packages in advance, and avoid inconvenience caused by users failing to change packages on time or making inappropriate choices. This provides a reliable demand basis for subsequent precise package recommendations. Furthermore, based on the operator adaptation rule library, packages matching user needs are selected and constructed... The optimized display path enables precise filtering and personalized listing of packages, allowing users to quickly find packages that meet their needs and reducing the time cost of package selection. Furthermore, filtering inefficient packages within a specified period promptly removes invalid or low-value packages that consume platform resources, optimizing resource allocation and ensuring the quality and timeliness of listed packages. Simultaneously, the operational adaptation rule library is updated in real-time, synchronizing with dynamic changes in operator packages to ensure its timeliness and accuracy. Finally, based on user needs, listed packages are evaluated from multiple dimensions, and the best package is recommended, further improving the accuracy of package recommendations. This allows users to obtain the optimal choice without repeatedly comparing multiple compatible packages, significantly improving user selection efficiency and satisfaction. At the same time, the multi-dimensional evaluation system comprehensively considers the overall value of packages, avoiding the bias of recommendations caused by single-dimensional evaluations and ensuring the scientific and reasonable nature of the recommendation results.

[0054] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings.

[0055] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0056] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used together with the embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0057] Figure 1 is a schematic diagram of the composition of a multi-heterogeneous third-party eSIM package standardization adaptation and intelligent scheduling system in an embodiment of the present invention.

[0058] Figure 2 is a schematic diagram of the workflow of a method for standardized adaptation and intelligent scheduling of eSIM packages for multiple heterogeneous third parties in an embodiment of the present invention. Detailed Implementation

[0059] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0060] Example 1: This example provides a standardized adaptation and intelligent scheduling system for eSIM packages from multiple heterogeneous third parties, as shown in Figure 1, including:

[0061] The third-party adaptation module is used to analyze the package advantages and package agreements of each operator, and generate an operation adaptation rule library for each operator in combination with the preset unified interface specifications.

[0062] The user configuration module is used to monitor the remaining lifespan of a user's purchased plan and, in combination with the user's historical usage data, infer the user's needs when using the eSIM plan.

[0063] The platform service module is used to filter packages that match user needs from the operation adaptation rule library and build corresponding adaptation display paths to put the packages on the shelves.

[0064] The resource management module is used to filter out inefficient packages that have insufficient display times or insufficient remaining validity period within a specified period, and to update the operation adaptation rule library for each package.

[0065] The intelligent scheduling module is used to evaluate the available packages from multiple dimensions based on the user's needs, and recommend the best available package to the user based on the evaluation results.

[0066] In this example, "package advantage" refers to the unique advantages that eSIM packages offered by different operators have compared to packages offered by other operators.

[0067] In this example, the package agreement represents the rights and obligations agreed upon between the operator and the user regarding the use of the eSIM package;

[0068] In this example, the pre-defined unified interface refers to the standardized interface that the system pre-sets for data interaction with the servers and users of various operators.

[0069] In this example, the operation adaptation rule base refers to a set of structured rules generated for each operator, which includes content such as package adaptation conditions, interface call rules, data interaction specifications, and package advantage markings.

[0070] In this example, "purchased package" means that the user has purchased an eSIM package that is currently in use or valid.

[0071] In this example, "remaining lifetime" represents the remaining available time of the user's currently purchased package from the current time until the package expires or the resources within the package are exhausted.

[0072] In this example, user needs refer to the core demands of users when choosing an eSIM plan;

[0073] In this example, the adapted display path refers to the display scheme planned by the system on the platform for the selected adapted packages, including the display position, display order, display style, display priority, and other content of the packages;

[0074] In this example, an inefficient package refers to a package that has insufficient display times, low user clicks and purchases within the specified period, or insufficient remaining validity period, and cannot bring effective value to the platform while consuming resources.

[0075] In this example, the specified period is 30 days;

[0076] In this example, multi-dimensional evaluation refers to the process of comprehensively assessing the available packages from multiple dimensions related to user needs (such as price suitability, data traffic matching, validity period suitability, geographical coverage integrity, operator service quality, etc.).

[0077] The working principle and beneficial effects of the above technical solution are as follows: To achieve end-to-end optimization of eSIM packages from standardized adaptation to accurate recommendation, and to improve package adaptation efficiency, user demand matching accuracy, platform resource utilization efficiency, and user selection experience, the solution firstly involves in-depth analysis of the advantages and protocols of various operators' packages. This is combined with a pre-defined unified interface specification to generate a dedicated operator adaptation rule library, achieving standardized processing of heterogeneous package information and interface protocols from different operators. This provides a standardized data foundation for subsequent package selection, listing, and scheduling. Then, by monitoring the remaining lifespan of purchased packages and combining historical usage data to infer user needs, the solution can accurately capture users' personalized package requirements, predict when users will switch packages, and avoid inconvenience caused by expired packages or inappropriate choices. This provides a reliable demand basis for subsequent accurate package recommendations. Furthermore, based on the operator adaptation rule library, packages matching user needs are selected and... By constructing an adaptive display path, precise filtering and personalized listing of packages are achieved, allowing users to quickly find packages that meet their needs and reducing the time cost of package selection. Furthermore, filtering inefficient packages within a specified period promptly removes invalid or low-value packages that consume platform resources, optimizing platform resource allocation and ensuring the quality and timeliness of listed packages. Simultaneously, the operational adaptation rule library is updated in real-time, synchronizing with the operator's dynamic package changes to ensure the timeliness and accuracy of the rule library. Finally, based on user needs, listed packages are evaluated from multiple dimensions, and the best package is recommended, further improving the accuracy of package recommendations. This allows users to obtain the optimal choice without repeatedly comparing multiple compatible packages, significantly improving user selection efficiency and satisfaction. At the same time, the multi-dimensional evaluation system comprehensively considers the overall value of packages, avoiding the bias of recommendations caused by single-dimensional evaluations, and ensuring the scientific and reasonable nature of the recommendation results.

[0078] Example 2: Based on Example 1, the multi-heterogeneous third-party eSIM package standardization adaptation and intelligent scheduling system, wherein the third-party adaptation module includes:

[0079] The package identification unit is used to collect full feature information of each operating package of each operator, obtain the identification value of the full feature information of the package under each identification dimension, construct a package profile corresponding to the operating package, and identify the package advantages of the operator in the package profile.

[0080] The protocol parsing unit is used to perform natural language processing on all feature information of the package, filter the package protocol content corresponding to the operating package from the processing result to formulate the first protocol feature, and at the same time obtain the interface protocol content corresponding to the preset unified interface to formulate the second protocol feature.

[0081] The interface specification unit is used to extract the core constraint clauses contained in each of the protocol contents, determine the differences in private interface parameters between different operators by combining the corresponding first protocol features, optimize the differences in private interface parameters according to the second protocol features, and obtain the specification structure protocol corresponding to each operator.

[0082] The rule matching unit is used to construct a knowledge graph of the package corresponding to the operator based on the full feature information of the package, and to connect with the operator in combination with the standard structure protocol, so as to obtain the connection result of each operator and generate the corresponding operation adaptation rule library of the operator.

[0083] In this example, the full feature information of the package refers to all the core attribute information covering every package operated by the operator;

[0084] In this example, the package profile represents a structured presentation of the package based on all the feature information of the package and sorted through multiple identification dimensions;

[0085] In this example, natural language processing refers to the process of performing word segmentation, part-of-speech tagging, entity recognition, and semantic understanding on the unstructured protocol text in the full set of feature information of the package, so as to achieve accurate screening and structured extraction of the protocol content;

[0086] In this example, the first protocol feature represents the core feature extracted from the protocol content based on the operating packages of various operators;

[0087] In this example, the second protocol feature represents the core feature for extracting interface protocol content based on a preset unified interface;

[0088] In this example, the core constraint clauses refer to the key constraint content extracted from the operator's package agreement and the preset unified interface agreement;

[0089] In this example, the differences in private interface parameters indicate that the interfaces used by different operators differ in terms of parameter type, parameter value range, parameter naming conventions, and parameter interaction logic.

[0090] In this example, the package knowledge graph represents a structured knowledge network constructed with the core features of each operator's packages as knowledge nodes and the relationships between features (such as the relationship between packages and tariffs, data traffic, and regions) as edges.

[0091] The working principle and beneficial effects of the above technical solution are as follows: To improve the system's compatibility and adaptation efficiency with multiple heterogeneous third-party operators and reduce the risk of abnormal cross-operator data interaction, the system first comprehensively collects full feature information of each operator's packages and constructs package profiles based on multiple identification dimensions. This allows for the systematic and accurate capture of the core attributes of the packages, avoiding misjudgments of package advantages due to missing feature information. This provides comprehensive and structured foundational data for subsequent protocol parsing and rule construction. Then, natural language processing technology is used to process the full feature information of the packages, extracting structured package protocol content, effectively improving the efficiency and accuracy of protocol content filtering. Simultaneously, by defining first and second protocol features, a bridge is established between the operator's package protocol and the preset unified interface protocol, providing a basis for... The subsequent optimization of interface parameters and the construction of standardized protocols provide clear feature basis. By extracting core constraint clauses and determining the differences in private interface parameters, the key to the heterogeneity of multi-operator interfaces can be accurately located. Based on the characteristics of the second protocol, the differences in private interface parameters are optimized to form a standardized structure protocol exclusive to each operator, which greatly reduces the risk of format conflicts and logical anomalies in data interaction. Finally, a knowledge graph of packages is constructed based on the full feature information of the packages, which can clearly present the relationship between various attributes of the packages. By combining the standardized structure protocol with the operators for docking tests, it can be ensured that the generated operation adaptation rule base meets the actual interaction requirements, making the rule base highly executable and targeted, and providing reliable rule support for the subsequent system to efficiently call operator package resources and accurately match user needs.

[0092] Example 3: Based on Example 2, the eSIM package standardization adaptation and intelligent scheduling system for multiple heterogeneous third parties further includes:

[0093] The rule verification unit is used to construct a digital communication model between the preset unified interface and all the operators based on the docking results.

[0094] The digital communication model is used to perform logical verification on the operation adaptation rule base. Based on the verification results, the operation adaptation rule base is logically sorted out, and the operation adaptation rules are adjusted and improved.

[0095] In this example, the digital communication model represents a model that simulates the data interaction scenario between the two operators, constructed based on the connection results between the preset unified interface and each operator.

[0096] In this example, logical verification refers to the systematic check of the operational adaptation rule base using the digital communication model, focusing on verifying whether there are logical conflicts between rules, whether there are missing rules, and whether there is redundancy in rules.

[0097] The working principle and beneficial effects of the above technical solution are as follows: By constructing a digital communication model between a pre-set unified interface and all operators based on the docking results, the model is used to conduct logical verification of the operation adaptation rule base and to sort out, adjust and improve the adaptation rules accordingly. This effectively makes up for the logical loopholes that may exist in generating the rule base by simply matching rules. It can identify and correct conflicts, missing or redundant rules in advance, ensuring the logical coherence, completeness and executability of the operation adaptation rule base. This ensures the stability and accuracy of subsequent data interaction and package adaptation between the system and various operators based on the rule base, and reduces the risk of adaptation failure and abnormal data interaction caused by rule defects.

[0098] Example 4: Based on Example 1, the user configuration module of the multi-heterogeneous third-party eSIM package standardization adaptation and intelligent scheduling system includes:

[0099] The data processing unit is used to collect the user's purchased package information and user authorization information in the preset unified interface, construct the user's package usage data, construct the user's package usage continuous actions based on the package usage data, and determine the user's usage preferences;

[0100] The periodic analysis unit is used to extend the package usage data using the usage preferences to obtain the user's estimated usage data, and at the same time determine the user's remaining package amount based on the package usage data, and analyze the remaining life cycle of the purchased package using the estimated usage data and the remaining package amount;

[0101] The comprehensive analysis unit is used to obtain the historical data of the user's packages and the usage time periods when the user uses different historical packages, analyze the user's usage score in different usage time periods based on the package advantages of each historical package, and determine the advantage usage weight of each package advantage.

[0102] The demand analysis unit is used to analyze the user's demand bias based on the advantages and weights, and to analyze the user's demand when choosing an eSIM plan next time, in conjunction with the corresponding usage preferences, and to archive the results.

[0103] In this example, the package usage data refers to a set of relevant data reflecting the user's package usage, constructed based on the user's purchased package information and authorization information.

[0104] In this example, the use of continuous actions in the package refers to a sequence of user package usage behaviors that are continuous in time, formed by sorting out package usage data.

[0105] In this example, usage preference refers to the user's tendency to choose and use packages, which is extracted by analyzing continuous actions and data related to package usage.

[0106] In this example, data extension means that based on the user's existing package usage data and combined with usage preferences, a reasonable prediction of package usage in the future period is made to fill the gaps in future usage data;

[0107] In this example, the estimated usage data refers to the predicted data on a user's package usage over a future period of time, obtained through data extension.

[0108] In this example, a rating is used to represent a quantitative score that combines the advantages of the historical package with the user's experience satisfaction and suitability when using the package at different time periods. The higher the score, the more the user recognizes the advantages of the package during that time period.

[0109] In this example, the advantage uses weights to represent the proportion of importance of the advantages of different packages to the user, as determined by the user rating. The higher the weight, the more the corresponding package advantage meets the user's core needs.

[0110] In this example, demand bias refers to the core demand direction that users prioritize when choosing an eSIM plan, as determined by the advantage weighting analysis.

[0111] The working principle and beneficial effects of the above technical solution are as follows: To effectively avoid poor user experience caused by blind recommendations, the system first collects users' purchased package information and authorization information through a pre-defined unified interface standard, ensuring the compliance and comprehensiveness of data collection. Based on the collected data, package usage data and continuous action sequences are constructed to accurately extract usage preferences. This provides structured and high-quality basic data for subsequent periodic analysis and demand inference. Then, the usage data is extended using usage preferences to obtain estimated usage data. Combined with the remaining package balance, the remaining lifecycle is analyzed, providing a time basis for timely push of suitable packages and preventing users from interrupting service due to sudden package exhaustion. Furthermore, by associating historical package data with usage time periods and combining package advantages to analyze usage scores and determine advantage usage weights, the degree of user demand for different package advantages is quantified, ensuring the scientific and accurate judgment of demand bias. Finally, based on the collaborative analysis of advantage usage weights and usage preferences, the core demand bias of users can be accurately located. At the same time, by archiving demands, it is easy to dynamically update demands based on the latest user behavior, ensuring the continuity and timeliness of demand information and providing stable demand support for accurate recommendations.

[0112] Example 5: Based on Example 4, the eSIM package standardization adaptation and intelligent scheduling system for multiple heterogeneous third parties further includes:

[0113] An archive encryption unit is used to obtain the user requirements corresponding to each user and construct a requirement pool corresponding to each user.

[0114] Identify sudden usage actions of the user in the demand pool, adjust the demand tendency of the user's demand according to the consequences of the sudden usage actions, and feed it back to the demand analysis unit;

[0115] At the same time, each of the aforementioned demand pools is dynamically encrypted.

[0116] The working principle and beneficial effects of the above technical solution are as follows: Encrypting user needs can protect users' rights and avoid the risks of information leakage.

[0117] Example 6: Based on Example 1, the platform service module of the multi-heterogeneous third-party eSIM package standardization adaptation and intelligent scheduling system includes:

[0118] The demand analysis unit is used to deduce the estimated operation time range of the user's next package purchase based on the remaining life cycle, and at the same time obtain the marketing promotion package of the corresponding operator within the estimated operation time range, and analyze the first matching degree between the marketing promotion package and the user's demand.

[0119] The deep filtering unit is used to search for target packages with a higher matching degree than the specified matching degree in the corresponding operation adaptation rule library when the first matching degree is lower than the specified matching degree, and to determine the second matching degree corresponding to each target package respectively, and at the same time construct the package connection action between each target package and the purchased package.

[0120] The path generation unit is used to simulate the connection action of each of the above packages, determine the difficulty of changing each target package, construct the package recommendation order in combination with the corresponding second matching degree, and construct the adaptation display path that transmits each target package to the preset unified interface.

[0121] The package listing unit is used to list the main marketing package when the first matching degree is not lower than the specified matching degree, and otherwise to list each target package according to the adapted display path.

[0122] In this example, the estimated operation time range represents the time interval in which the user is most likely to make another eSIM plan purchase, which is derived from the remaining lifespan of the user's purchased plan.

[0123] In this example, the marketing-driven package refers to the eSIM package that the operator focuses on promoting within the user's estimated operation timeframe.

[0124] In this example, the first matching degree represents the degree of fit between the features of the operator's main marketing packages and user needs;

[0125] In this example, the matching degree is defined as the system's preset matching threshold used to determine whether a package meets the user's core needs; it is generally 75%.

[0126] In this example, the target package refers to the eSIM package selected from the operational adaptation rule base that has a higher match rate with user needs than the specified match rate when the first match rate of the marketing-promoted package is lower than the specified match rate.

[0127] In this example, the second matching degree represents the degree to which the features of the target package match the user's needs;

[0128] In this example, the package switching action refers to a series of operations required for a user to switch from their current purchased package to the target package;

[0129] In this example, the difficulty of replacement is represented by factors such as the complexity of the execution steps, the time taken, the level of operational barriers, and the risk of service interruption based on the package connection action.

[0130] The working principle and beneficial effects of the above technical solution are as follows: To avoid user churn due to insufficient package compatibility, significantly optimize the user's purchasing experience, and ensure that the offered packages accurately meet user needs, the system first estimates the time range for the user's next purchase based on the remaining lifespan of the purchased package. This allows for accurate prediction of package push timing, avoiding user interference or service interruption caused by pushing too early or too late. Simultaneously, it analyzes the operator's main marketing packages within this time range and assesses their first-degree match, enabling priority use of operator marketing resources to reach users. Then, when the first-degree match between the main marketing package and the user's needs is insufficient, the system deeply mines high-match target packages through the operator's adaptation rule library, ensuring that no high-quality adapted packages are missed due to marketing resource limitations. Furthermore, it builds... The process of connecting target packages with purchased packages is streamlined in advance, clearing obstacles for users switching packages later. Furthermore, the ease of switching is determined by simulating the connection process. Combined with a second matching degree, a recommendation order and adaptive display path are constructed, enabling personalized sorting and precise push notifications for packages. Packages with high matching degrees and easy switching are prioritized, significantly reducing user selection and decision-making costs and optimizing the user browsing experience. At the same time, a reasonable display path plan increases the exposure of high-quality packages, further improving conversion efficiency. Finally, based on the first matching degree, the platform flexibly selects to list either the main marketing package or the target package, while listing the target package based on the adapted display path, ensuring the standardization and orderliness of package display and enhancing the professionalism of the platform service.

[0131] Example 7: Based on Example 6, the multi-heterogeneous third-party eSIM package standardization adaptation and intelligent scheduling system further includes:

[0132] The package management unit is used to construct a set of packages available for each user based on several marketing-promoted packages / target packages corresponding to each user;

[0133] The corresponding set of available packages will be displayed for each user.

[0134] The working principle and beneficial effects of the above technical solution are as follows: it provides different product display for different users, realizing personalized recommendations.

[0135] Example 8: Based on Example 1, the resource management module of the multi-heterogeneous third-party eSIM package standardization adaptation and intelligent scheduling system includes:

[0136] The data statistics unit is used to count the number of times each of the listed packages is listed and the listing period within a specified period, as well as the purchase volume and click volume of each of the listed packages, and to construct the dynamic information of each of the listed packages.

[0137] The package filtering unit is used to obtain the validity period of each of the listed packages, determine the remaining validity period of the listed packages in combination with the current date, filter out the first inefficient packages that do not meet the validity period requirements, and filter out the second inefficient packages that do not meet the recommendation requirements based on the package dynamic information.

[0138] The rule reorganization unit is used to search for the adaptation rule corresponding to each of the inefficient packages in the operation adaptation rule library, determine the rule relationship between each adaptation rule and the operation adaptation rule library, remove the adaptation rule, and then reorganize the operation adaptation rule library using the rule relationship.

[0139] The rule update unit is used to monitor the newly launched packages of the corresponding operator in real time, transmit the newly launched packages to the preset unified interface for standardization processing, and update the operator adaptation rule library according to the processing results.

[0140] In this example, the first inefficient package refers to the inefficient package that does not meet the system's preset validity period requirements, which is filtered out by the package filtering unit based on the remaining validity period of the listed packages.

[0141] In this example, the second inefficient package refers to the inefficient package that the package filtering unit selects based on dynamic package information and does not meet the system's preset recommendation.

[0142] In this example, the rule relationship represents the association logic between the adaptation rule corresponding to a certain inefficient package and other adaptation rules in the operation adaptation rule library;

[0143] In this example, rule reorganization means that after removing the adaptation rules corresponding to inefficient packages, the remaining adaptation rules are optimized by logically sorting, adjusting the order, and supplementing the associations based on the sorted rule relationships.

[0144] In this example, the newly launched packages refer to the eSIM packages that various operators have added and released based on market demand, including newly launched package types and packages that are upgrades and iterations based on existing packages;

[0145] In this example, "standard processing" refers to the process of transmitting information related to newly launched packages from the operator to a pre-defined unified interface, and then performing information structuring conversion, parameter mapping, protocol adaptation, and other processing operations in accordance with the interface specification requirements.

[0146] The working principle and beneficial effects of the above technical solution are as follows: To improve the efficiency of system resource allocation and long-term operational stability, the system first comprehensively collects core data such as the number of times packages are listed, the duration, the purchase volume, and the number of clicks within a specified period, and constructs dynamic information on the packages. This provides objective and comprehensive data for the accurate identification of inefficient packages, avoiding the one-sidedness of selecting packages based solely on subjective judgment. Then, through a dual-dimensional filtering process using the remaining validity period and dynamic information on the packages, the system accurately distinguishes and filters between the first and second most inefficient packages. This not only cleans up packages that are about to expire and cannot provide effective services to users, but also eliminates packages with poor display effects. The platform effectively freed up resources by eliminating ineffective packages with low user attention, ensuring the availability of high-quality packages. Furthermore, after removing inefficient packages and their corresponding adaptation rules, the platform streamlined and restructured the rules, avoiding issues such as rule breaks and logical inconsistencies that might arise after removal. This ensured the integrity and logical coherence of the operational adaptation rule library. Finally, the platform monitored and standardized newly launched packages from operators in real time before updating the rule library, achieving real-time synchronization between operator package dynamics and system adaptation rules. This prevented the omission of user needs due to new packages not being included in the adaptation scope in a timely manner, and improved the system's responsiveness to operator service dynamics.

[0147] Example 9: Based on Example 1, the eSIM package standardization adaptation and intelligent scheduling system for multiple heterogeneous third parties, wherein the intelligent scheduling module includes:

[0148] The indicator construction unit is used to identify the demand semantics corresponding to each user demand, perform cluster analysis on the demand semantics to obtain several demand sets corresponding to the operator, and construct corresponding dimensional evaluation indicators based on the target demand set with a demand degree higher than a specified value.

[0149] The evaluation execution unit is used to evaluate the listed packages using each of the aforementioned dimension evaluation indicators, obtain the dimension evaluation results of each listed package under different dimensions, and construct the evaluation view corresponding to each listed package.

[0150] The package filtering unit is used to select the best available package with the highest overall score from the evaluation view. When the user enters the purchase interface, the best available package is given priority.

[0151] In this example, demand semantics refers to the natural language meaning of user demand, which is the linguistic solution to the user's package request;

[0152] In this example, the dimensional evaluation index refers to a multi-faceted standard used to evaluate the available packages, constructed based on a target demand set whose demand exceeds a specified value.

[0153] In this example, the dimension evaluation result represents the specific evaluation result of the listed package under each dimension evaluation indicator;

[0154] In this example, the rating view represents a visual presentation of the integrated rating results from various dimensions of the available packages.

[0155] The working principle and beneficial effects of the above technical solution are as follows: To further improve the accuracy and feasibility of recommendations and enhance the core service capabilities of the system, firstly, by identifying the semantics of user needs and performing cluster analysis, similar user needs can be accurately aggregated to form a demand set. Based on the target demand set with high demand, dimensional evaluation indicators are constructed to ensure the relevance and practicality of the evaluation indicators, avoiding the problem of evaluation dimensions being out of touch with user needs. This lays a scientific indicator foundation for subsequent accurate evaluation of packages. Then, multi-dimensional evaluation indicators are used to evaluate each of the listed packages one by one and generate dimensional evaluation results, realizing a comprehensive quantitative assessment of the overall value of the packages. By constructing an evaluation view, the performance of each dimension of the packages is presented intuitively, clearly showing the advantages and disadvantages of different packages. This provides an intuitive and reliable basis for subsequent selection of the best package and also facilitates the system to quickly locate high-quality packages. Furthermore, the best listed package with the highest comprehensive score is selected from the evaluation view and prioritized for display when users enter the purchase interface, achieving accurate reach of high-quality packages, reducing the time cost for users to repeatedly compare multiple packages, and improving the user's purchase experience and package conversion efficiency.

[0156] Example 10: This example provides a method for standardized adaptation and intelligent scheduling of eSIM packages from multiple heterogeneous third parties, as shown in Figure 2, including:

[0157] Step 1: Analyze the advantages and agreements of each operator's packages, and generate an operation adaptation rule library for each operator based on the preset unified interface specifications;

[0158] Step 2: Monitor the remaining lifespan of the user's purchased plan and, based on the user's historical usage data, infer the user's needs when using the eSIM plan;

[0159] Step 3: Filter the packages that match the user's needs from the operation adaptation rule library, and build the corresponding adaptation display path to put the packages on the shelves;

[0160] Step 4: Filter out inefficient packages with insufficient display counts or insufficient remaining validity period within the specified period, and update the operation adaptation rule library for each package.

[0161] Step 5: Evaluate the available packages from multiple dimensions based on the user's needs, and recommend the best available package to the user based on the evaluation results.

[0162] In this example, "package advantage" refers to the unique advantages that eSIM packages offered by different operators have compared to packages offered by other operators.

[0163] In this example, the package agreement represents the rights and obligations agreed upon between the operator and the user regarding the use of the eSIM package;

[0164] In this example, the pre-defined unified interface refers to the standardized interface that the system pre-sets for data interaction with the servers and users of various operators.

[0165] In this example, the operation adaptation rule base refers to a set of structured rules generated for each operator, which includes content such as package adaptation conditions, interface call rules, data interaction specifications, and package advantage markings.

[0166] In this example, "purchased package" means that the user has purchased an eSIM package that is currently in use or valid.

[0167] In this example, "remaining lifetime" represents the remaining available time of the user's currently purchased package from the current time until the package expires or the resources within the package are exhausted.

[0168] In this example, user needs refer to the core demands of users when choosing an eSIM plan;

[0169] In this example, the adapted display path refers to the display scheme planned by the system on the platform for the selected adapted packages, including the display position, display order, display style, display priority, and other content of the packages;

[0170] In this example, an inefficient package refers to a package that has insufficient display times, low user clicks and purchases within the specified period, or insufficient remaining validity period, and cannot bring effective value to the platform while consuming resources.

[0171] In this example, multi-dimensional evaluation refers to the process of comprehensively assessing the available packages from multiple dimensions related to user needs (such as price suitability, data traffic matching, validity period suitability, geographical coverage integrity, operator service quality, etc.).

[0172] The working principle and beneficial effects of the above technical solution are as follows: To achieve end-to-end optimization of eSIM packages from standardized adaptation to accurate recommendation, and to improve package adaptation efficiency, user demand matching accuracy, platform resource utilization efficiency, and user selection experience, the solution firstly involves in-depth analysis of the advantages and protocols of various operators' packages. This is combined with a pre-defined unified interface specification to generate a dedicated operator adaptation rule library, achieving standardized processing of heterogeneous package information and interface protocols from different operators. This provides a standardized data foundation for subsequent package selection, listing, and scheduling. Then, by monitoring the remaining lifespan of purchased packages and combining historical usage data to infer user needs, the solution can accurately capture users' personalized package requirements, predict when users will switch packages, and avoid inconvenience caused by expired packages or inappropriate choices. This provides a reliable demand basis for subsequent accurate package recommendations. Furthermore, based on the operator adaptation rule library, packages matching user needs are selected and... By constructing an adaptive display path, precise filtering and personalized listing of packages are achieved, allowing users to quickly find packages that meet their needs and reducing the time cost of package selection. Furthermore, filtering inefficient packages within a specified period promptly removes invalid or low-value packages that consume platform resources, optimizing platform resource allocation and ensuring the quality and timeliness of listed packages. Simultaneously, the operational adaptation rule library is updated in real-time, synchronizing with the operator's dynamic package changes to ensure the timeliness and accuracy of the rule library. Finally, based on user needs, listed packages are evaluated from multiple dimensions, and the best package is recommended, further improving the accuracy of package recommendations. This allows users to obtain the optimal choice without repeatedly comparing multiple compatible packages, significantly improving user selection efficiency and satisfaction. At the same time, the multi-dimensional evaluation system comprehensively considers the overall value of packages, avoiding the bias of recommendations caused by single-dimensional evaluations, and ensuring the scientific and reasonable nature of the recommendation results.

[0173] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A standardized adaptation and intelligent scheduling system for eSIM packages from multiple heterogeneous third parties, characterized in that, include: The third-party adaptation module is used to analyze the package advantages and package agreements of each operator, and generate an operation adaptation rule library for each operator in combination with the preset unified interface specifications. The user configuration module is used to monitor the remaining lifespan of a user's purchased plan and, in combination with the user's historical usage data, infer the user's needs when using the eSIM plan. The platform service module is used to filter packages that match user needs from the operation adaptation rule library and build corresponding adaptation display paths to put the packages on the shelves. The resource management module is used to filter out inefficient packages that have insufficient display times or insufficient remaining validity period within a specified period, and to update the operation adaptation rule library for each package. The intelligent scheduling module is used to evaluate the available packages from multiple dimensions based on the user's needs, and recommend the best available package to the user based on the evaluation results; The third-party adaptation module includes: a package identification unit, used to collect full feature information of each operating package of each operator, obtain the identification value of the full feature information of the package under each identification dimension, construct a package profile corresponding to the operating package, and identify the package advantages of the operator in the package profile; The protocol parsing unit performs natural language processing on all feature information of the package, filters the package protocol content corresponding to the operating package from the processing results to formulate a first protocol feature, and simultaneously obtains the interface protocol content corresponding to the preset unified interface to formulate a second protocol feature; the interface specification unit extracts the core constraint clauses contained in each of the protocol contents, determines the differences in private interface parameters between different operators by combining the corresponding first protocol features, optimizes the differences in private interface parameters according to the second protocol features, and obtains the specification structure protocol corresponding to each operator; the rule matching unit constructs a package knowledge graph corresponding to the operator based on the all feature information of the package, combines the specification structure protocol to interface with the operator, obtains the interface result of each operator, and generates the corresponding operation adaptation rule library for the operator.

2. The multi-heterogeneous third-party eSIM package standardization adaptation and intelligent scheduling system as described in claim 1, characterized in that, Also includes: The rule verification unit is used to construct a digital communication model between the preset unified interface and all the operators based on the docking results; to perform logical verification on the operation adaptation rule library using the digital communication model; to perform logical sorting on the operation adaptation rule library based on the verification results; and to adjust and improve the operation adaptation rules.

3. The multi-heterogeneous third-party eSIM package standardization adaptation and intelligent scheduling system as described in claim 1, characterized in that, The user configuration module includes: a data processing unit, used to collect the user's purchased package information and user authorization information from the preset unified interface, construct the user's package usage data, construct the user's continuous package usage actions based on the package usage data, and determine the user's usage preferences; a periodic analysis unit, used to extend the package usage data using the usage preferences to obtain the user's estimated usage data, and simultaneously determine the user's remaining package usage based on the package usage data, and analyze the remaining lifecycle of the purchased package using the estimated usage data and the remaining package usage; a comprehensive analysis unit, used to obtain the user's historical package data and usage time periods corresponding to different historical packages, analyze the user's usage score corresponding to different usage time periods based on the package advantages corresponding to each historical package, and determine the advantage usage weight corresponding to each package advantage; and a demand analysis unit, used to analyze the user's demand bias based on the advantage usage weight, analyze the user's user demand when choosing an eSIM package next time in combination with the corresponding usage preferences, and archive the results.

4. The multi-heterogeneous third-party eSIM package standardization adaptation and intelligent scheduling system as described in claim 3, characterized in that, Also includes: An archive encryption unit is used to obtain the user requirements corresponding to each user and construct a requirement pool corresponding to each user. The system identifies sudden usage actions of the user in the demand pool, adjusts the user's demand tendency according to the consequences of the sudden usage actions, and feeds the results back to the demand analysis unit; at the same time, each demand pool is dynamically encrypted.

5. The multi-heterogeneous third-party eSIM package standardization adaptation and intelligent scheduling system as described in claim 1, characterized in that, The platform service module includes: a demand analysis unit, used to deduce the estimated operation time range of the user's next package purchase based on the remaining lifecycle, and simultaneously obtain the marketing-promoted packages of the corresponding operator within the estimated operation time range, and analyze the first matching degree between the marketing-promoted packages and the user's demand; a deep filtering unit, used to search for target packages with a higher matching degree than the specified matching degree in the corresponding operator adaptation rule library when the first matching degree is lower than the specified matching degree, and determine the second matching degree corresponding to each target package, and simultaneously construct the package connection action between each target package and the purchased package; a path generation unit, used to simulate the package connection action for each package, determine the ease of changing each target package, construct the package recommendation order based on the corresponding second matching degree, and construct an adaptation display path to transmit each target package to the preset unified interface; and a package listing unit, used to list the marketing-promoted packages when the first matching degree is not lower than the specified matching degree, and otherwise list each target package according to the adaptation display path.

6. The multi-heterogeneous third-party eSIM package standardization adaptation and intelligent scheduling system as described in claim 5, characterized in that, Also includes: The package management unit is used to construct a set of packages available for each user based on several marketing-promoted packages / target packages corresponding to each user; The corresponding set of available packages will be displayed for each user.

7. The multi-heterogeneous third-party eSIM package standardization adaptation and intelligent scheduling system as described in claim 1, characterized in that, The resource management module includes: a data statistics unit, used to count the number of times each of the listed packages is listed and the listing period, as well as the purchase volume and click volume of each of the listed packages, within a specified period, and construct dynamic information of each of the listed packages; a package filtering unit, used to obtain the validity period of each of the listed packages, determine the remaining validity period of the listed packages in combination with the current date, filter out the first inefficient packages that do not meet the validity period requirements, and filter out the second inefficient packages that do not meet the recommendation requirements based on the dynamic information of the packages; a rule reorganization unit, used to search for the adaptation rules corresponding to each of the inefficient packages in the operation adaptation rule library, determine the rule relationship between each adaptation rule and the operation adaptation rule library, remove the adaptation rules, and reorganize the operation adaptation rule library using the rule relationship; and a rule update unit, used to monitor the newly launched packages of the corresponding operator in real time, transmit the newly launched packages to the preset unified interface for standardization processing, and update the operation adaptation rule library according to the processing results.

8. The multi-heterogeneous third-party eSIM package standardization adaptation and intelligent scheduling system as described in claim 1, characterized in that, The intelligent scheduling module includes: an indicator construction unit, used to identify the demand semantics corresponding to each user demand, perform cluster analysis on the demand semantics to obtain several demand sets corresponding to the operator, and construct corresponding dimensional evaluation indicators based on the target demand set with a demand degree higher than a specified value; an evaluation execution unit, used to evaluate the listed packages using each of the dimensional evaluation indicators, obtain the dimensional evaluation results of each listed package under different dimensions, and construct an evaluation view corresponding to each listed package; and a package selection unit, used to select the best listed package with the highest comprehensive score from the evaluation view, and prioritize the best listed package when the user enters the purchase interface.

9. A method for standardized adaptation and intelligent scheduling of eSIM packages from multiple heterogeneous third parties, characterized in that, include: Step 1: Analyze the advantages and agreements of each operator's packages, and generate an operation adaptation rule library for each operator based on a pre-defined unified interface specification; Step 2: Monitor the remaining lifespan of the user's purchased packages, and infer the user's needs when using eSIM packages based on the user's historical usage data; Step 3: Filter packages that match the user's needs from the operation adaptation rule library, and construct corresponding adaptation display paths to list the packages; Step 4: Filter inefficient packages with insufficient display times or insufficient remaining validity within a specified period, and update each operation adaptation rule library; Step 5: Evaluate the listed packages from multiple dimensions based on the user's needs, and recommend the best listed package to the user based on the evaluation results; Step 1 includes: collecting full feature information of each operating package from each operator, obtaining the identification value of the full feature information of the package under each identification dimension, constructing a package profile corresponding to the operating package, identifying the package advantages of the operator in the package profile; performing natural language processing on the full feature information of the package, filtering the package protocol content corresponding to the operating package from the processing result to formulate a first protocol feature, and simultaneously obtaining the interface protocol content corresponding to the preset unified interface to formulate a second protocol feature; The core constraint clauses contained in each of the protocols are extracted, and the differences in private interface parameters between different operators are determined by combining the corresponding first protocol features. The differences in private interface parameters are optimized according to the second protocol features to obtain the standard structure protocol corresponding to each operator. A package knowledge graph corresponding to the operator is constructed based on the full feature information of the package. The standard structure protocol is then used to interface with the operator to obtain the interface result of each operator and generate the corresponding operation adaptation rule library for the operator.

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