Project configuration strategy generation method and apparatus, computer device, and storage medium

Abstract

The application relates to the technical field of data analysis, and discloses a project configuration strategy generation method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring an association mapping relationship of standard business projects and non-standard business projects, and determining a target standard business project according to a project configuration request; determining a target non-standard business project according to a dynamic matching algorithm, the association mapping relationship and the target standard business project, and generating a target project configuration strategy according to the target non-standard business project. In the above manner, the application realizes standardized management of multi-source heterogeneous non-standard business data by constructing an association mapping relationship of standard and non-standard business projects. Through analyzing a project configuration request of a user and utilizing a dynamic matching algorithm, the application quickly and accurately locates a non-standard project, aggregates and generates a resource configuration strategy that can be implemented, and improves the resource configuration efficiency of a business management system in the field of medical health and pension business.

Description

Technical Field

[0001] This application relates to the field of data analysis technology, and in particular to a method, apparatus, computer device and storage medium for generating project configuration strategies. Background Technology

[0002] With the continuous development of the social economy and the acceleration of population aging, the demand for integrated medical, health, and elderly care services is growing. However, the medical, health, and elderly care business involves numerous institutions, and the services offered by these institutions vary in name, content, granularity, and pricing, resulting in a large pool of non-standardized business resources. When users want to obtain a cross-institutional, personalized comprehensive service solution, existing technologies often struggle to effectively search, match, and integrate these heterogeneous non-standard resources. Instead, they need to manually compare and combine non-standard project catalogs from multiple institutions repeatedly, a cumbersome and error-prone process that cannot quickly generate standardized service configuration solutions that meet their needs and are executable. This severely restricts the optimal allocation and operational efficiency of service resources.

[0003] Therefore, in the field of medical, health and elderly care business, how to achieve standardized management of non-standard business resources and generate feasible project portfolio strategies quickly and accurately based on user needs in order to improve the resource allocation efficiency of the business management system has become an urgent technical problem to be solved. Summary of the Invention

[0004] This application provides a method, apparatus, computer device, and storage medium for generating project configuration strategies to improve the resource allocation efficiency of a business management system.

[0005] Firstly, this application provides a method for generating a project configuration strategy, the method comprising: Obtain the association mapping relationship between each preset standard business item and each preset non-standard business item; Obtain a project configuration request, and determine at least one target standard business project based on the project configuration request; Target non-standard business projects are determined based on the preset dynamic matching algorithm, the associated mapping relationship, and the target standard business projects, and target project configuration strategies are generated based on each target non-standard business project.

[0006] Secondly, this application also provides a project configuration strategy generation apparatus, the apparatus comprising: The association mapping relationship acquisition module is used to acquire the association mapping relationship between each preset standard business item and each preset non-standard business item; The target standard business item determination module is used to obtain a project configuration request and determine at least one target standard business item based on the project configuration request. The target project configuration strategy generation module is used to determine the target non-standard business projects based on the preset dynamic matching algorithm, the associated mapping relationship and the target standard business projects, and generate target project configuration strategies based on each of the target non-standard business projects.

[0007] Thirdly, this application also provides a computer device, the computer device including a memory and a processor; the memory is used to store a computer program; the processor is used to execute the computer program and, when executing the computer program, implement the project configuration strategy generation method as described above.

[0008] Fourthly, this application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, causes the processor to implement the project configuration strategy generation method described above.

[0009] This application discloses a method, apparatus, computer device, and storage medium for generating project configuration strategies. The method includes obtaining the association mapping relationship between preset standard business projects and preset non-standard business projects; obtaining a project configuration request; determining at least one target standard business project based on the project configuration request; determining target non-standard business projects based on a preset dynamic matching algorithm, the association mapping relationship, and the target standard business project; and generating a target project configuration strategy based on each target non-standard business project. Through this method, this application achieves standardized management of multi-source heterogeneous non-standard business data by constructing an association mapping relationship between standard and non-standard business projects. By parsing user project configuration requests and utilizing a dynamic matching algorithm, it quickly and accurately locates non-standard projects and aggregates them to generate implementable resource configuration strategies. In the field of medical, health, and elderly care services, this improves the resource configuration efficiency of the business management system. Attached Figure Description

[0010] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0011] Figure 1 This is a schematic diagram of the application environment for a project configuration strategy generation method provided in an embodiment of this application; Figure 2 This is a schematic flowchart illustrating a project configuration strategy generation method provided in an embodiment of this application; Figure 3 A schematic block diagram of a project configuration strategy generation device provided for embodiments of this application; Figure 4 A schematic block diagram of the structure of a computer device provided for an embodiment of this application. Detailed Implementation

[0012] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0013] The project configuration strategy generation method provided in this embodiment of the invention can be applied to, for example... Figure 1 In this application environment, the client communicates with the server via a network. The server can obtain the association mapping relationship between each preset standard business project and each preset non-standard business project; obtain a project configuration request, determine at least one target standard business project based on the project configuration request; determine a target non-standard business project based on a preset dynamic matching algorithm, the association mapping relationship, and the target standard business project, and generate a target project configuration strategy based on each target non-standard business project. Through the above method, this application achieves standardized management of multi-source heterogeneous non-standard business data by constructing an association mapping relationship between standard and non-standard business projects. By parsing the user's project configuration request and utilizing a dynamic matching algorithm, it quickly and accurately locates non-standard projects and aggregates and generates implementable resource configuration strategies, improving the resource configuration efficiency of the business management system in the medical, health, and elderly care business field. The client can be, but is not limited to, various personal computers, laptops, smartphones, tablets, and portable wearable devices. The server can be implemented using a separate server or a server cluster composed of multiple servers. The invention will be described in detail below through specific embodiments.

[0014] Please see Figure 2 , Figure 2 This is a schematic flowchart illustrating a project configuration strategy generation method provided in an embodiment of this application. This project configuration strategy generation method can be applied to servers to improve the resource configuration efficiency of a business management system.

[0015] like Figure 2 As shown, the configuration strategy generation method for this project specifically includes steps S10 to S30.

[0016] Step S10: Obtain the association mapping relationship between each preset standard business item and each preset non-standard business item; Specifically, a standard business library and a non-standard resource library are constructed. The standard business items are pre-defined as standardized service units based on industry-standard specifications. Each item has a unique standard identifier, standard attributes, and a pre-defined decomposition identifier (used to indicate whether the item can be decomposed into more granular underlying service units).

[0017] The preset non-standard business items are the business resources actually published by each service provider. The original resource data uploaded by the service provider is obtained to extract each preset non-standard business item, and the preset non-standard business items are semantically matched and attribute compared with the preset standard business items.

[0018] In a specific embodiment, when the content of a non-standard business item is completely consistent with that of a standard business item in terms of business meaning and included units, a direct mapping relationship is established; when a non-standard business item only includes some functions of a standard business item, and the standard business item includes a split identifier, a split mapping relationship is established.

[0019] Step S20: Obtain a project configuration request and determine at least one target standard business project based on the project configuration request; Specifically, the system obtains the project configuration request entered by the user through the terminal device. This can be a service name entered in text, a list of selected services, or natural language containing specific requirements.

[0020] The system performs semantic parsing and keyword extraction on project configuration requests to identify the standard business identifier or standard business name corresponding to the user's intent. It then calls the business rule base for logical verification, which includes mutual exclusion rules and dependency rules.

[0021] If the initial set of parsed business items violates the mutual exclusion rule, a conflict warning is generated and the conflicting items are removed; if there are missing dependencies, the dependencies are automatically added. Finally, the set of business items that has been verified and corrected is determined as the target standard business items for this quotation.

[0022] Step S30: Determine the target non-standard business items according to the preset dynamic matching algorithm, the associated mapping relationship and the target standard business items, and generate the target project configuration strategy according to each target non-standard business item.

[0023] Specifically, based on the association mapping relationship, a preset dynamic matching algorithm is used to match target standard business items with corresponding non-standard business items of service providers: first, matching is performed by complete project; if no match is found, sub-item matching is performed by divisible attributes; if no corresponding project is found, an alternative non-standard project is selected according to the upgrade and replacement rules. Quotations for the corresponding non-standard projects are obtained; if no valid quotation is found, it is processed according to preset rules. Finally, all successfully matched non-standard project quotations are summarized to generate a target pricing strategy that includes project details, total price, and missing item information.

[0024] In a specific embodiment, this embodiment can be applied to the medical, health and elderly care business field, especially in the scenario of pricing physical examination items.

[0025] Retrieve the currently identified target standard service items (e.g., user-selected "liver function test" and "5 tumor markers"), and combine this with the user-specified service provider and applicable physiological status (e.g., male / female or unmarried / married). For each target standard service item, query the associated mapping relationship to determine if there is a non-standard service item in the service provider's non-standard service item database that directly maps to the target standard service item. If so, directly use the non-standard service item as the matching result and extract the corresponding single price based on the applicable physiological status; if no direct mapping exists, dynamically match the non-standard service item with the target standard service item using a preset dynamic matching algorithm to determine the non-standard service item.

[0026] This embodiment discloses a method for generating project configuration strategies. The method includes obtaining the association mapping relationship between each preset standard business project and each preset non-standard business project; obtaining a project configuration request; determining at least one target standard business project based on the project configuration request; determining target non-standard business projects based on a preset dynamic matching algorithm, the association mapping relationship, and the target standard business project; and generating a target project configuration strategy based on each target non-standard business project. Through the above method, this application achieves standardized management of multi-source heterogeneous non-standard business data by constructing an association mapping relationship between standard and non-standard business projects. By parsing the user's project configuration request and utilizing a dynamic matching algorithm, non-standard projects can be quickly and accurately located, and feasible resource configuration strategies can be aggregated and generated. In the field of medical, health, and elderly care services, this improves the resource configuration efficiency of the business management system.

[0027] based on Figure 2 In the illustrated embodiment, step S10 includes: Construct a standard business project database, wherein the standard business project database is used to define each of the preset standard business projects; Obtain a database of non-standard business projects from at least one business vendor; Establish the association mapping relationship between each preset non-standard business project in the non-standard business project data and each preset standard business project in the standard project database.

[0028] In some embodiments, this embodiment is described using the scenario of pricing for physical examination items as an example.

[0029] Based on general knowledge and standards in the medical, health, and elderly care industries, a unified standard physical examination item library will be established to standardize the definition of each preset standard business item. Preset standard business items, or standard physical examination items, are used in the pricing scenario for physical examination items, such as blood routine tests, electrocardiograms, or color Doppler ultrasounds. The data field structure required for standard examination items will be determined, including at least a unique identifier for the examination item, the examination item name, its category, its department, a set of associated sub-item identifiers, supported physiological states (e.g., male / female or married / unmarried), whether it involves radiation, whether fasting is required, the examination item type (single or combined), whether it can be split into individual items for pricing, whether it allows adding or removing sub-items, whether it allows upgrading to a higher-level item, and an upgrade priority list.

[0030] Obtain a database of non-standard business items from at least one business supplier, including the name of the health checkup package provided by the health checkup institution, a list of detailed items included in the package, additional items, individual examination items, and sales prices corresponding to different physiological states. Non-standard business item records must include the institution's unique identifier, internal project number, project name, detailed item list, applicable gender range, prices for different genders, whether it is a combination project, and whether it can be split.

[0031] For each non-standard business item, a comparison and mapping is performed one by one with the standard business items in the standard business item database. For complete matches, such as an institution's "5-item oncology package" whose sub-items and applicable population are completely identical to the standard project "5-item tumor markers," a direct mapping relationship is established. For partial or incomplete matches, such as another institution only offering a "3-item oncology package" lacking two sub-items, while the standard project "5-item tumor markers" allows for itemized pricing, the institution's "3-item oncology package" is marked as the source for split matching, and it is recorded whether the institution possesses the individual item corresponding to the missing sub-item. If no individual item can be matched for the missing sub-item, it is necessary to check whether the standard project allows upgrading to a higher-level project, such as "7-item tumor markers." If the institution happens to have a "7-item oncology package," an upgrade matching mapping is established.

[0032] In a specific embodiment, establishing the association mapping relationship between each preset non-standard business item in the non-standard business item data and each preset standard business item in the standard project database includes: Extract the structured feature information of each of the preset non-standard business items; Based on the structured feature information, the multi-dimensional similarity value between each of the preset non-standard business items and each of the preset standard business items is calculated respectively; According to the preset fusion weight strategy, the multi-dimensional similarity values ​​are weighted and fused to obtain the comprehensive mapping confidence between each preset non-standard business item and each preset standard business item. When the confidence level of the comprehensive mapping is greater than or equal to the first preset threshold, the association mapping relationship between the preset non-standard business items and the corresponding preset standard business items is established.

[0033] Specifically, structured feature information for each non-standard service item is extracted. This includes parsing the item name, detailed list, applicable physiological state, radiation exposure status, fasting status, item type, and clinical meaning keywords from the raw data provided by the institution, forming a computationally calculable feature vector. For each pair of non-standard service items and preset standard service items, multi-dimensional similarity values ​​are calculated. These values ​​can include semantic similarity of item names or similarity of detailed item sets.

[0034] Based on the preset fusion weight strategy (e.g., name semantic similarity weight 0.3, sub-item set similarity weight 0.4, physiological state matching weight 0.2, item type matching weight 0.1), the similarity values ​​of the above multiple dimensions are weighted and fused to calculate the comprehensive mapping confidence between the non-standard and standard items.

[0035] When the confidence level is greater than or equal to a preset first threshold (e.g., 0.85), an association mapping relationship is established between the non-standard business item and the corresponding standard business item; if the confidence level is lower than the threshold, the candidate pair is marked as pending review for further confirmation or correction.

[0036] In a specific embodiment, after weighting and fusing the multi-dimensional similarity values ​​according to a preset fusion weighting strategy to obtain the comprehensive mapping confidence between each preset non-standard business item and each preset standard business item, the process includes: When the overall mapping confidence is greater than or equal to the second preset threshold and less than the first preset threshold, a mapping record to be determined is generated, and the associated mapping relationship is determined based on the mapping record to be determined. When the overall mapping confidence level is less than the second preset threshold, the preset non-standard business item is marked as an unmapped item.

[0037] Specifically, when the overall mapping confidence is greater than or equal to the second preset threshold and less than the first preset threshold, a mapping is not established directly. Instead, a mapping record to be determined is generated, and the matching pair between the non-standard business item and the standard business item is reviewed and confirmed to finally determine the association mapping relationship. If the overall mapping confidence is less than the second preset threshold, it is determined that the matching degree between the non-standard business item and any item in the existing standard business item database does not meet the basic requirements, and it is marked as an unmapped item.

[0038] based on Figure 2 In the illustrated embodiment, step S20 includes: Perform semantic parsing on the project configuration request to extract the initial set of business projects and the constraints corresponding to the initial set of business projects; Specifically, semantic parsing is performed on the project configuration request to extract the initial set of business projects and the corresponding constraints, including the applicable object type, service time window, and geographical scope.

[0039] Obtain a preset business rule base, and perform logical verification on the initial set of business items based on the business rule base and the constraints. The business rule base stores the dependency and mutual exclusion relationships between each preset standard business item in advance. Specifically, a preset business rule base is obtained, and the initial set of business items is logically verified based on the business rule base and the above constraints. The business rule base stores the dependencies and mutual exclusion relationships between each preset standard business item in advance. For example, some inspection items are only applicable to people with specific physiological states, some combined inspection items have prerequisite dependent inspection items, and some inspection items have mutually exclusive rules that cannot be selected at the same time.

[0040] If the initial set of business items passes the logical verification, then each initial business item in the initial set of business items is determined as the target standard business item; Specifically, if the initial set of business items passes the logical verification, then each initial business item in the initial set of business items will be directly determined as the target standard business item.

[0041] If the initial set of business items fails the logical verification, a business conflict prompt is generated based on the failed dependency or mutual exclusion relationship, and the initial set of business items is corrected based on the business conflict prompt, and the corrected business items are determined as the target standard business items.

[0042] Specifically, if the initial set of business items fails the logical validation, for example, if a user selects an item that does not match their physiological state, or if two mutually exclusive items are selected at the same time, a business conflict prompt is generated based on the dependency or mutual exclusion relationship that failed the validation. The initial set of business items is then corrected based on the business conflict prompt, such as automatically removing inapplicable items, adding prerequisite dependent items, or replacing them with compatible alternative items. The corrected business items are then identified as the target standard business items.

[0043] In some embodiments, an initial set of business items (e.g., user-selected "liver function test", "chest CT", or "5 tumor markers") and corresponding constraints (e.g., applicable physiological state set to "male", whether radiation is required, whether fasting is required) are extracted from the project configuration request. A preset business rule base is obtained, which pre-stores the dependencies (e.g., the "fasting blood glucose" item must coexist with the "fasting requirement" constraint, or the "hepatitis B surface antigen and antibody test" item depends on the "liver function test" item) and mutual exclusions (e.g., selecting both "chest CT" and "chest X-ray" simultaneously constitutes duplicate testing).

[0044] Based on business rules and constraints, the initial set of business projects is logically validated: if the dependencies and mutual exclusion relationships of all projects are satisfied, the validation passes and each project in the initial set of business projects is directly identified as the target standard business project. If the validation fails, for example, if the user selects two mutually exclusive radiation items, a business conflict prompt is generated based on the specific failed item. The initial set of business items is then corrected based on this prompt, and the corrected set of business items is finally determined as the target standard business item.

[0045] based on Figure 2 In the illustrated embodiment, step S30 includes: Based on the association mapping relationship, determine whether there are any candidate non-standard business projects that match the target standard business project; If there are candidate non-standard business projects, then the candidate non-standard business projects will be determined as the target non-standard business projects; If no candidate non-standard business project exists, the target non-standard business project is determined by dynamically matching the applicable object attributes of the target standard business project according to the preset dynamic matching algorithm. Aggregate all the target non-standard business projects to generate the target project configuration strategy.

[0046] Specifically, based on the pre-established association mapping relationship, the system queries the non-standard business project database of the service provider to see if there are any candidate non-standard business projects that match the target standard business project. If so, the candidate non-standard business project is identified as the target non-standard business project.

[0047] In some embodiments, the business management system iterates through and aggregates all successfully matched target non-standard business projects. For each such project, detailed information required to construct the configuration strategy is extracted from the non-standard business project database of its respective service provider. This information may include the project's unique identifier, its actual name at the supplier's location, the specific service content or list of included sub-items, applicable object conditions, and resource information such as the corresponding service provider.

[0048] For the medical examination pricing scenario, during the process of summarizing all target non-standard business items and generating target item configuration strategies, all target standard business items that have been matched are traversed, and the target non-standard business items and their individual pricing information corresponding to each target standard business item are extracted. For each target non-standard business item, the corresponding individual pricing is obtained according to its applicable object type. When the price information of a target non-standard business item under the corresponding applicable object type is empty, the individual pricing is set to zero and a price anomaly mark is generated simultaneously.

[0049] The system aggregates individual quotes for each target non-standard business item to generate an initial total quote. This initial total quote is then optimized and adjusted based on preset quote optimization rules, which may include package discount rules, minimum spend reduction rules, and membership level discount rules. During the aggregated quote process, the system also checks for any target standard business items marked as missing. If any are found, this missing item information is incorporated into the target item configuration strategy.

[0050] In a specific embodiment, if no candidate non-standard business item exists, the target non-standard business item is determined by dynamically matching the applicable object attributes of the target standard business item according to the preset dynamic matching algorithm, including: If the applicable object attribute includes a split identifier, then the target standard business item is split according to the applicable object attribute and the split identifier to generate at least one target standard business sub-item; Target non-standard business items are determined based on all the target standard business items, and target non-standard business projects are determined based on each of the target non-standard business items. If the applicable object attribute includes an upgrade identifier, then the target standard business item is upgraded according to the upgrade identifier and the applicable object attribute to generate at least one target standard upgrade business item. The target non-standard business projects are determined based on the target standard upgrade business projects.

[0051] Specifically, if no directly matching candidate non-standard business item exists, a preset dynamic matching algorithm is used to dynamically match the applicable object attributes of the target standard business item. For example, it checks whether the standard item has a split identifier. If a split identifier exists, the split target standard business item is matched one by one with the individual non-standard items in the non-standard business item database. If all target standard business items are successfully matched, the multiple individual items are combined as the target non-standard business item. If no split identifier exists or the splitting fails, it checks whether the applicable object attribute of the target standard business item has an upgrade identifier. If an upgrade identifier exists, it attempts to match the non-standard business items corresponding to the superior standard item according to a preset priority until a usable target non-standard business item is found. If the above dynamic matching still cannot obtain any valid non-standard business item, the standard item is marked as missing. Please refer to [link to relevant documentation]. Figure 3 , Figure 3 This is a schematic block diagram of a project configuration strategy generation apparatus provided in an embodiment of this application. This apparatus is used to execute the aforementioned project configuration strategy generation method. The project configuration strategy generation apparatus can be configured on a server.

[0052] like Figure 3 As shown, the project configures a strategy generation device 400, including: The association mapping relationship acquisition module 410 is used to acquire the association mapping relationship between each preset standard business item and each preset non-standard business item; The target standard business item determination module 420 is used to obtain a project configuration request and determine at least one target standard business item based on the project configuration request. The target project configuration strategy generation module 430 is used to determine the target non-standard business projects based on the preset dynamic matching algorithm, the association mapping relationship and the target standard business projects, and generate target project configuration strategies based on each of the target non-standard business projects.

[0053] Furthermore, the association mapping relationship acquisition module 410 includes: A standard business project database construction unit is used to construct a standard business project database, wherein the standard business project database is used to define each of the preset standard business projects; The non-standard business project database acquisition unit is used to acquire the non-standard business project database of at least one business supplier. The association mapping relationship establishment unit is used to establish the association mapping relationship between each preset non-standard business project in the non-standard business project data and each preset standard business project in the standard project database.

[0054] Furthermore, the association mapping relationship establishment unit includes: The structured feature information extraction subunit is used to extract the structured feature information of each of the preset non-standard business items; A multi-dimensional similarity value calculation subunit is used to calculate the multi-dimensional similarity value between each of the preset non-standard business items and each of the preset standard business items based on the structured feature information. The comprehensive mapping confidence acquisition subunit is used to perform weighted fusion of the multi-dimensional similarity values ​​according to the preset fusion weight strategy to obtain the comprehensive mapping confidence between each preset non-standard business item and each preset standard business item. The association mapping relationship establishment subunit is used to establish the association mapping relationship between the preset non-standard business items and the corresponding preset standard business items when the comprehensive mapping confidence is greater than or equal to a first preset threshold.

[0055] Furthermore, the association mapping relationship establishment unit includes: The undetermined mapping record generation subunit is used to generate undetermined mapping records when the comprehensive mapping confidence is greater than or equal to the second preset threshold and less than the first preset threshold, and to determine the associated mapping relationship based on the undetermined mapping records; The unmapped item marking subunit is used to mark the preset non-standard business item as an unmapped item when the comprehensive mapping confidence is less than the second preset threshold.

[0056] Furthermore, the target standard business item determination module 420 includes: The constraint extraction unit is used to perform semantic parsing on the project configuration request and extract the initial set of business projects and the constraint conditions corresponding to the initial set of business projects. A logic verification unit is used to obtain a preset business rule base and perform logical verification on the initial set of business items according to the business rule base and the constraints. The business rule base stores the dependency and mutual exclusion relationships between each preset standard business item in advance. The target standard business item determination unit is used to determine each initial business item in the initial business item set as the target standard business item if the initial business item set passes the logical verification. The correction unit is configured to, if the initial set of business items fails the logical verification, generate a business conflict prompt based on the failed dependency or mutual exclusion relationship, and correct the initial set of business items based on the business conflict prompt, and determine the corrected business items as the target standard business items.

[0057] Furthermore, the target project configuration strategy generation module 430 includes: The candidate non-standard business project judgment unit is used to determine whether there are candidate non-standard business projects that match the target standard business project based on the association mapping relationship; The target non-standard business project determination unit is used to determine the candidate non-standard business project as the target non-standard business project if the candidate non-standard business project exists. A dynamic matching unit is used to determine the target non-standard business project by dynamically matching the applicable object attributes of the target standard business project according to the preset dynamic matching algorithm if the candidate non-standard business project does not exist. The target project configuration strategy generation unit is used to aggregate the target non-standard business projects and generate the target project configuration strategy.

[0058] Furthermore, the dynamic matching unit includes: The target standard business item generation sub-unit is used to split the target standard business item according to the applicable object attribute and the split identifier if the applicable object attribute includes a split identifier, thereby generating at least one target standard business item. The target non-standard business item determination subunit is used to determine the target non-standard business items based on all the target standard business items, and to determine the target non-standard business items based on each of the target non-standard business items. A standard upgrade service item generation subunit is used to upgrade the target standard service item according to the upgrade identifier and the applicable object attribute if the applicable object attribute includes an upgrade identifier, thereby generating at least one target standard upgrade service item. The target non-standard business project determination subunit is used to determine the target non-standard business project based on the target standard upgrade business project.

[0059] It should be noted that those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the above-described apparatus and modules can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0060] The aforementioned device can be implemented as a computer program, which can be used in, for example... Figure 4 It runs on the computer device shown.

[0061] Please see Figure 4 , Figure 4 This is a schematic block diagram illustrating the structure of a computer device according to an embodiment of this application. The computer device may be a server.

[0062] See Figure 4The computer device includes a processor, memory, and network interface connected via a system bus, wherein the memory may include non-volatile storage media and internal memory.

[0063] Non-volatile storage media can store operating systems and computer programs. These computer programs include program instructions that, when executed, cause the processor to perform any project configuration strategy generation method.

[0064] The processor provides computing and control capabilities, supporting the operation of the entire computer device.

[0065] Internal memory provides an environment for the execution of computer programs in non-volatile storage media, which, when executed by a processor, enable the processor to perform any project configuration strategy generation method.

[0066] This network interface is used for network communication, such as sending assigned tasks. Those skilled in the art will understand that... Figure 4 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0067] It should be understood that the processor can be a Central Processing Unit (CPU), but it can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among these, a general-purpose processor can be a microprocessor or any conventional processor.

[0068] In one embodiment, the processor is configured to run a computer program stored in memory to perform the following steps: Obtain the association mapping relationship between each preset standard business item and each preset non-standard business item; Obtain a project configuration request, and determine at least one target standard business project based on the project configuration request; Target non-standard business projects are determined based on the preset dynamic matching algorithm, the associated mapping relationship, and the target standard business projects, and target project configuration strategies are generated based on each target non-standard business project.

[0069] In one embodiment, the association mapping relationship between each preset standard business item and each preset non-standard business item is obtained to achieve: Construct a standard business project database, wherein the standard business project database is used to define each of the preset standard business projects; Obtain a database of non-standard business projects from at least one business vendor; Establish the association mapping relationship between each preset non-standard business project in the non-standard business project data and each preset standard business project in the standard project database.

[0070] In one embodiment, the association mapping relationship between each preset non-standard business item in the non-standard business item data and each preset standard business item in the standard project database is established to achieve: Extract the structured feature information of each of the preset non-standard business items; Based on the structured feature information, the multi-dimensional similarity value between each of the preset non-standard business items and each of the preset standard business items is calculated respectively; According to the preset fusion weight strategy, the multi-dimensional similarity values ​​are weighted and fused to obtain the comprehensive mapping confidence between each preset non-standard business item and each preset standard business item. When the confidence level of the comprehensive mapping is greater than or equal to the first preset threshold, the association mapping relationship between the preset non-standard business items and the corresponding preset standard business items is established.

[0071] In one embodiment, the multi-dimensional similarity values ​​are weighted and fused according to a preset fusion weight strategy to obtain the comprehensive mapping confidence between each preset non-standard business item and each preset standard business item, which is then used to achieve: When the overall mapping confidence is greater than or equal to the second preset threshold and less than the first preset threshold, a mapping record to be determined is generated, and the associated mapping relationship is determined based on the mapping record to be determined. When the overall mapping confidence level is less than the second preset threshold, the preset non-standard business item is marked as an unmapped item.

[0072] In one embodiment, a project configuration request is obtained, and at least one target standard business project is determined based on the project configuration request, for the purpose of: Perform semantic parsing on the project configuration request to extract the initial set of business projects and the constraints corresponding to the initial set of business projects; Obtain a preset business rule base, and perform logical verification on the initial set of business items based on the business rule base and the constraints. The business rule base stores the dependency and mutual exclusion relationships between each preset standard business item in advance. If the initial set of business items passes the logical verification, then each initial business item in the initial set of business items is determined as the target standard business item; If the initial set of business items fails the logical verification, a business conflict prompt is generated based on the failed dependency or mutual exclusion relationship, and the initial set of business items is corrected based on the business conflict prompt, and the corrected business items are determined as the target standard business items.

[0073] In one embodiment, target non-standard business items are determined based on a preset dynamic matching algorithm, the associated mapping relationship, and the target standard business items. A target item configuration strategy is then generated based on each of the target non-standard business items to achieve the following: Based on the association mapping relationship, determine whether there are any candidate non-standard business projects that match the target standard business project; If there are candidate non-standard business projects, then the candidate non-standard business projects will be determined as the target non-standard business projects; If no candidate non-standard business project exists, the target non-standard business project is determined by dynamically matching the applicable object attributes of the target standard business project according to the preset dynamic matching algorithm. Aggregate all the target non-standard business projects to generate the target project configuration strategy.

[0074] In one embodiment, if no candidate non-standard business project exists, the target non-standard business project is determined by dynamically matching the applicable object attributes of the target standard business project according to the preset dynamic matching algorithm, thereby achieving: If the applicable object attribute includes a split identifier, then the target standard business item is split according to the applicable object attribute and the split identifier to generate at least one target standard business sub-item; Target non-standard business items are determined based on all the target standard business items, and target non-standard business projects are determined based on each of the target non-standard business items. If the applicable object attribute includes an upgrade identifier, then the target standard business item is upgraded according to the upgrade identifier and the applicable object attribute to generate at least one target standard upgrade business item. The target non-standard business projects are determined based on the target standard upgrade business projects.

[0075] The embodiments of this application also provide a computer-readable storage medium storing a computer program, the computer program including program instructions, and the processor executing the program instructions to implement any of the project configuration strategy generation methods provided in the embodiments of this application.

[0076] The computer-readable storage medium may be an internal storage unit of the computer device described in the foregoing embodiments, such as the hard disk or memory of the computer device. The computer-readable storage medium may also be an external storage device of the computer device, such as a plug-in hard disk, SmartMedia Card (SMC), Secure Digital (SD) card, or Flash Card equipped on the computer device.

[0077] It should be noted that any AI models, software tools, or components not belonging to this company appearing in the embodiments of this application are merely illustrative examples and do not represent actual use. All user personal information involved in the embodiments of this application has been authorized (with the knowledge and consent) by the relevant parties or has been fully authorized by all parties, and the executing entity may obtain it through various legal and compliant means. The collection, storage, use, processing, transmission, provision, and disclosure of the information, data, and signals involved all comply with relevant laws and regulations and do not violate public order and good morals.

[0078] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this application, and these modifications or substitutions should all be covered within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A project configuration strategy generation method characterized by, include: Obtain the association mapping relationship between each preset standard business item and each preset non-standard business item; Obtain a project configuration request, and determine at least one target standard business project based on the project configuration request; Target non-standard business projects are determined based on the preset dynamic matching algorithm, the associated mapping relationship, and the target standard business projects, and target project configuration strategies are generated based on each target non-standard business project.

2. The item configuration policy generation method of claim 1, wherein, The step of obtaining the association mapping relationship between each preset standard business item and each preset non-standard business item includes: Construct a standard business project database, wherein the standard business project database is used to define each of the preset standard business projects; Obtain a database of non-standard business projects from at least one business vendor; Establish the association mapping relationship between each preset non-standard business project in the non-standard business project data and each preset standard business project in the standard project database.

3. The item configuration policy generation method according to claim 2, characterized by, The step of establishing the association mapping relationship between each of the preset non-standard business items in the non-standard business item data and each of the preset standard business items in the standard project database includes: Extract the structured feature information of each of the preset non-standard business items; Based on the structured feature information, the multi-dimensional similarity value between each of the preset non-standard business items and each of the preset standard business items is calculated respectively; According to the preset fusion weight strategy, the multi-dimensional similarity values ​​are weighted and fused to obtain the comprehensive mapping confidence between each preset non-standard business item and each preset standard business item. When the confidence level of the comprehensive mapping is greater than or equal to the first preset threshold, the association mapping relationship between the preset non-standard business items and the corresponding preset standard business items is established.

4. The item configuration policy generation method according to claim 3, characterized by, The step of weighting and fusing the multi-dimensional similarity values ​​according to a preset fusion weighting strategy to obtain the comprehensive mapping confidence between each preset non-standard business item and each preset standard business item includes: When the overall mapping confidence is greater than or equal to the second preset threshold and less than the first preset threshold, a mapping record to be determined is generated, and the associated mapping relationship is determined based on the mapping record to be determined. When the overall mapping confidence level is less than the second preset threshold, the preset non-standard business item is marked as an unmapped item.

5. The item configuration policy generation method of claim 1, wherein, The process of obtaining a project configuration request and determining at least one target standard business project based on the project configuration request includes: Perform semantic parsing on the project configuration request to extract the initial set of business projects and the constraints corresponding to the initial set of business projects; Obtain a preset business rule base, and perform logical verification on the initial set of business items based on the business rule base and the constraints. The business rule base stores the dependency and mutual exclusion relationships between each preset standard business item in advance. If the initial set of business items passes the logical verification, then each initial business item in the initial set of business items is determined as the target standard business item; If the initial set of business items fails the logical verification, a business conflict prompt is generated based on the failed dependency or mutual exclusion relationship, and the initial set of business items is corrected based on the business conflict prompt, and the corrected business items are determined as the target standard business items.

6. The item configuration policy generation method of claim 1, wherein, The step of determining the target non-standard business project based on the preset dynamic matching algorithm, the association mapping relationship, and the target standard business project, and generating a target project configuration strategy based on each of the target non-standard business projects, includes: Based on the association mapping relationship, determine whether there are any candidate non-standard business projects that match the target standard business project; If the candidate non-standard business project exists, then the candidate non-standard business project shall be determined as the target non-standard business project; If no candidate non-standard business project exists, the target non-standard business project is determined by dynamically matching the applicable object attributes of the target standard business project according to the preset dynamic matching algorithm. Aggregate all the target non-standard business projects to generate the target project configuration strategy.

7. The project configuration strategy generation method according to claim 6, characterized in that, If no candidate non-standard business project exists, then the target non-standard business project is determined by dynamically matching the applicable object attributes of the target standard business project according to the preset dynamic matching algorithm, including: If the applicable object attribute includes a split identifier, then the target standard business item is split according to the applicable object attribute and the split identifier to generate at least one target standard business sub-item; Target non-standard business items are determined based on all the target standard business items, and target non-standard business projects are determined based on each of the target non-standard business items. If the applicable object attribute includes an upgrade identifier, then the target standard business item is upgraded according to the upgrade identifier and the applicable object attribute to generate at least one target standard upgrade business item; The target non-standard business projects are determined based on the target standard upgrade business projects.

8. A project configuration strategy generation device, characterized in that, include: The association mapping relationship acquisition module is used to acquire the association mapping relationship between each preset standard business item and each preset non-standard business item; The target standard business item determination module is used to obtain a project configuration request and determine at least one target standard business item based on the project configuration request. The target project configuration strategy generation module is used to determine the target non-standard business projects based on the preset dynamic matching algorithm, the associated mapping relationship and the target standard business projects, and generate target project configuration strategies based on each of the target non-standard business projects.

9. A computer device, characterized in that, The computer device includes a memory and a processor; The memory is used to store computer programs; The processor is configured to execute the computer program and, in executing the computer program, implement the project configuration strategy generation method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, causes the processor to implement the project configuration strategy generation method as described in any one of claims 1 to 7.

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