Object resource allocation information determination method and device and computer equipment

Abstract

The invention relates to an object resource allocation information determination method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring a resource allocation range, resource allocation time and information of each resource allocation object corresponding to a resource allocation task; determining a resource allocation index parameter corresponding to the resource allocation task according to the resource allocation range, the resource allocation time and the information of each resource allocation object; constructing a resource allocation processing model corresponding to the resource allocation task according to the resource allocation index parameter and the resource allocation task; and inputting the resource allocation basic information corresponding to each piece of resource allocation object information into a resource allocation processing model to obtain object resource allocation information corresponding to each piece of resource allocation object information. By adopting the method, the resource allocation accuracy can be improved.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular to a method, apparatus, computer equipment, computer-readable storage medium, and computer program product for determining object resource allocation information. Background Art

[0002] The process of calculating the resource allocation amount of traditional resource allocation objects usually relies on manual operations, including manually extracting sales data from multiple data sources, manually setting calculation rules and performing calculations. This method has several significant problems in practical applications: first, manual operations require a lot of manpower, resulting in a significant increase in operating costs; second, the amount of transaction data involved in sales rewards is usually large, and the design of resource allocation rules is complex and the calculation logic is diverse. The entire data processing and calculation process is very time-consuming and often requires a long cycle to complete. In addition, since manual calculations rely on manual accuracy, once an error occurs, the reward results may not match the actual situation, thereby affecting the trust of the resource allocation object and the reputation of the enterprise. What's more serious is that pure manual calculations lack strict automated auditing and traceability mechanisms, and are easily intervened by humans, which breeds fraud such as data tampering and false reward reporting, increasing the operational risks of the enterprise. Therefore, the traditional manual reward calculation method can no longer meet the needs of modern enterprises for efficient, accurate and transparent resource allocation. Summary of the invention

[0003] Based on this, it is necessary to provide a method, apparatus, computer device, computer-readable storage medium and computer program product for determining object resource allocation information that can improve the accuracy of resource allocation in response to the above technical problems.

[0004] In a first aspect, the present application provides a method for determining object resource allocation information, comprising:

[0005] Obtain the resource allocation scope, resource allocation time and resource allocation object information corresponding to the resource allocation task;

[0006] Determine the resource allocation index parameter corresponding to the resource allocation task according to the resource allocation scope, the resource allocation time and the information of each resource allocation object;

[0007] Constructing a resource allocation processing model corresponding to the resource allocation task according to the resource allocation indicator parameter and the resource allocation task;

[0008] The resource allocation basic information corresponding to each resource allocation object information is input into the resource allocation processing model to obtain the object resource allocation information corresponding to each resource allocation object information.

[0009] In one embodiment, determining the resource allocation indicator parameter corresponding to the resource allocation task according to the resource allocation range, the resource allocation time and the information of each resource allocation object includes:

[0010] Determining a common resource allocation condition corresponding to the resource allocation task according to the resource allocation scope and the information of each resource allocation object;

[0011] Based on the current resource allocation amount corresponding to the resource allocation task, according to the resource allocation range and the information of each resource allocation object, determine the resource allocation basic information corresponding to the resource allocation task;

[0012] According to the common resource allocation conditions and the basic resource allocation information, resource allocation indicator parameters are selected from a resource allocation indicator library.

[0013] In one embodiment, determining the resource allocation common condition corresponding to the resource allocation task according to the resource allocation range and the information of each resource allocation object includes:

[0014] According to the resource allocation scope, setting the resource allocation general conditions and resource allocation custom conditions corresponding to the resource allocation task;

[0015] The resource allocation common condition is set according to the resource allocation general condition and the resource allocation custom condition.

[0016] In one embodiment, the determining of the basic resource allocation information corresponding to the resource allocation task based on the current resource allocation amount corresponding to the resource allocation task, according to the resource allocation range and the information of each resource allocation object, includes:

[0017] Based on the current resource allocation amount corresponding to the resource allocation task and according to the resource allocation range, selecting a target allocation object from the resource allocation object information;

[0018] Based on the current resource allocation amount corresponding to the resource allocation task and according to the resource allocation range, setting resource allocation project information;

[0019] The resource allocation project information is associated with the target allocation object to obtain the resource allocation basic information.

[0020] In one embodiment, constructing a resource allocation processing model corresponding to the resource allocation task according to the resource allocation indicator parameter and the resource allocation task includes:

[0021] Determining each resource condition item and each resource allocation item according to the resource allocation indicator parameter and the resource allocation task;

[0022] The resource allocation processing model is constructed according to each of the resource condition items and each of the resource allocation items.

[0023] In one embodiment, constructing the resource allocation processing model according to each of the resource condition items and each of the resource allocation items includes:

[0024] Summing the resource condition items and the resource allocation items of any resource allocation object to obtain an object resource allocation weight of the resource allocation object;

[0025] Summing the resource condition items and the resource allocation items of each resource allocation object to obtain a total object resource weight of each resource allocation object;

[0026] According to the current resource allocation amount corresponding to the resource allocation task, the ratio of the object resource allocation weight to the object resource total weight is adjusted to construct the resource allocation processing model.

[0027] In a second aspect, the present application further provides a device for determining object resource allocation information, including:

[0028] An information acquisition module is used to obtain the resource allocation scope, resource allocation time and information of each resource allocation object corresponding to the resource allocation task;

[0029] An indicator determination module, used to determine the resource allocation indicator parameter corresponding to the resource allocation task according to the resource allocation scope, the resource allocation time and the information of each resource allocation object;

[0030] A model building module, used to build a resource allocation processing model corresponding to the resource allocation task according to the resource allocation indicator parameters and the resource allocation task;

[0031] The allocation determination module is used to input the resource allocation basic information corresponding to each resource allocation object information into the resource allocation processing model to obtain the object resource allocation information corresponding to each resource allocation object information.

[0032] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0033] Obtain the resource allocation scope, resource allocation time and resource allocation object information corresponding to the resource allocation task;

[0034] Determine the resource allocation index parameter corresponding to the resource allocation task according to the resource allocation scope, the resource allocation time and the information of each resource allocation object;

[0035] Constructing a resource allocation processing model corresponding to the resource allocation task according to the resource allocation indicator parameter and the resource allocation task;

[0036] The resource allocation basic information corresponding to each resource allocation object information is input into the resource allocation processing model to obtain the object resource allocation information corresponding to each resource allocation object information.

[0037] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0038] Obtain the resource allocation scope, resource allocation time and resource allocation object information corresponding to the resource allocation task;

[0039] Determine the resource allocation index parameter corresponding to the resource allocation task according to the resource allocation scope, the resource allocation time and the information of each resource allocation object;

[0040] Constructing a resource allocation processing model corresponding to the resource allocation task according to the resource allocation indicator parameter and the resource allocation task;

[0041] The resource allocation basic information corresponding to each resource allocation object information is input into the resource allocation processing model to obtain the object resource allocation information corresponding to each resource allocation object information.

[0042] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0043] Obtain the resource allocation scope, resource allocation time and resource allocation object information corresponding to the resource allocation task;

[0044] Determine the resource allocation index parameter corresponding to the resource allocation task according to the resource allocation scope, the resource allocation time and the information of each resource allocation object;

[0045] Constructing a resource allocation processing model corresponding to the resource allocation task according to the resource allocation indicator parameter and the resource allocation task;

[0046] The resource allocation basic information corresponding to each resource allocation object information is input into the resource allocation processing model to obtain the object resource allocation information corresponding to each resource allocation object information.

[0047] The above-mentioned object resource allocation information determination method, device, computer equipment, computer-readable storage medium and computer program product first obtain the resource allocation scope, resource allocation time and each resource allocation object information corresponding to the resource allocation task, and avoid the low efficiency and high error rate problems of traditional manual extraction by automatically obtaining the scope, time and object information of the resource allocation task, thereby improving the speed and accuracy of data acquisition; then, according to the resource allocation scope, resource allocation time and each resource allocation object information, determine the resource allocation indicator parameters corresponding to the resource allocation task, and dynamically determine the indicator parameters required for the resource allocation task according to the resource allocation scope, time and object information, significantly improving the efficiency and accuracy of indicator selection, and through the standardization and modularization of the indicator parameters, ensure that the allocation rules can flexibly adapt to various business scenarios, while improving the fairness and pertinence of resource allocation; then According to the resource allocation index parameters and resource allocation tasks, the resource allocation processing model corresponding to the resource allocation task is constructed, and the resource allocation processing model is automatically generated based on the task objectives and index parameters, which greatly reduces the difficulty of manually writing complex calculation rules, can flexibly respond to the diverse allocation rule requirements, ensure the transparency and unity of the allocation rules, and realize efficient automatic processing in the allocation calculation, thereby improving the flexibility and reliability of resource allocation; finally, the resource allocation basic information corresponding to each resource allocation object information is input into the resource allocation processing model, and the object resource allocation information corresponding to each resource allocation object information is obtained, and the object resource allocation information is quickly and accurately generated, which fully realizes the automation of allocation calculation. The entire calculation process is strictly based on the model rules. The results are not only accurate, but also traceable, which is convenient for post-audit and review, and enhances the credibility and operational transparency of the allocation results. In the above method, through the full process automation of data acquisition, index parameter setting, processing model construction and allocation calculation, the efficiency and flexibility of resource allocation are significantly improved, and the operational errors and fraud risks caused by manual participation are reduced. The standardization of resource allocation rules and the transparency of the allocation process ensure the fairness and traceability of the allocation results; at the same time, through the precise calculation of the model, the accuracy of resource allocation is greatly improved, effectively meeting the needs of modern enterprises for efficient, accurate and transparent resource allocation, and significantly reducing manpower and time costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0049] Figure 1A schematic diagram of a flow chart of a method for determining object resource allocation information in one embodiment;

[0050] Figure 2 A schematic diagram of a flow chart of a step of determining resource allocation indicator parameters in one embodiment;

[0051] Figure 3 A schematic diagram of a system for determining object resource allocation information in one embodiment;

[0052] Figure 4 An application architecture diagram of a system for determining object resource allocation information in one embodiment;

[0053] Figure 5 A schematic diagram of a process flow for setting a reward scheme in one embodiment;

[0054] Figure 6 It is a structural block diagram of an apparatus for determining object resource allocation information in one embodiment;

[0055] Figure 7 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0056] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0057] In one embodiment, Figure 1 As shown, a method for determining object resource allocation information is provided. This embodiment uses the method applied to a terminal as an example for illustration. It is understandable that the method can also be applied to a server, and can also be applied to a system including a terminal and a server, and is implemented through the interaction between the terminal and the server. Among them, the terminal can be, but is not limited to, various personal computers, laptops, smart phones, and tablet computers. The server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services. In this embodiment, the method includes the following steps:

[0058] Step S101, obtaining the resource allocation scope, resource allocation time and information of each resource allocation object corresponding to the resource allocation task.

[0059] Among them, the resource allocation scope refers to the geographical scope, business field or organizational level involved in the resource allocation task, which clarifies the boundary conditions involved in the task; the resource allocation time refers to the time period for the execution of the allocated task, including the start time and end time of the task, which is used to constrain the effective time period of the allocated task; the resource allocation object information refers to the attribute data of the specific objects participating in resource allocation, such as the object's identity, role type, organization to which it belongs, and historical resource data.

[0060] Exemplarily, the terminal obtains the resource allocation scope, time and object information by accessing the resource management database and the allocation task configuration file. First, the terminal calls the basic information of the allocated task from the task configuration interface, including data such as the scope identifier, time interval and object list. Then, based on the scope identifier of the task, the terminal matches the corresponding resource library to further obtain detailed information within the allocation scope, such as geographic location or department level. For resource allocation time, the terminal generates start and end timestamps based on the time parameters set in the task configuration, and verifies their validity. For resource allocation object information, the terminal extracts the list of objects involved in the task from the participating object library, and simultaneously extracts the historical allocation records, role attributes and related information of each object to provide sufficient supporting data for subsequent calculations.

[0061] Step S102: determining resource allocation indicator parameters corresponding to the resource allocation task according to the resource allocation scope, resource allocation time and information of each resource allocation object.

[0062] Among them, resource allocation indicator parameters are quantitative standards extracted based on the allocation task requirements, such as allocation weights, performance indicators, and resource limits, which are core parameters used to guide allocation calculations.

[0063] Exemplarily, the terminal extracts an applicable set of indicators from the resource allocation scope of the task, such as team size or performance indicators within the business area. Then, the terminal analyzes and calibrates the parameters within the time period from the historical indicator data in combination with the resource allocation time, such as the performance benchmark value or target completion rate in the same time period in the past. Finally, the terminal matches the applicable parameter model based on the resource allocation object information, such as individual performance and team composition, and generates specific indicator parameters (such as allocation ratio or reward coefficient).

[0064] Step S103: construct a resource allocation processing model corresponding to the resource allocation task according to the resource allocation indicator parameters and the resource allocation task.

[0065] Among them, the resource allocation task is a specific work goal that constrains and defines the scope, time and object of resource allocation, and is used to guide the setting of resource allocation rules; the resource allocation processing model is a calculation framework that combines task requirements, indicator parameters and calculation rules, and is used to dynamically generate allocation results for each resource allocation object.

[0066] Exemplarily, the terminal selects a basic model type (such as a proportional allocation model, a performance-weighted model, etc.) from the allocation model library according to the target requirements in the resource allocation task. Then, in combination with the resource allocation indicator parameters (such as performance compliance rate or budget limit), the calculation formula is dynamically loaded, and the model parameters, such as allocation ratio, weight factor, etc., are adjusted according to the characteristics of the task. During the construction process, the terminal sets constraints on the model, such as setting the minimum and maximum allocation amounts for each allocation object to ensure that the allocation results meet the task requirements. Depending on the complexity of the resource allocation task, the terminal may also generate a hierarchical model (for example, setting differentiated allocation rules for different regions, levels or roles). In addition, the terminal verifies the model to ensure that the input task parameters and indicator parameters are logically consistent, the allocation rules are transparent, and the calculation results are traceable.

[0067] Step S104: inputting resource allocation basic information corresponding to each resource allocation object information into a resource allocation processing model to obtain object resource allocation information corresponding to each resource allocation object information.

[0068] The object resource allocation information is the final output result of the allocation task, such as the resource allocation ratio or allocation amount of each allocation object.

[0069] Exemplarily, the terminal matches the basic information of resource allocation (such as the total budget, allocation weights and conditional parameters within the scope of the task) with the object information (such as personal performance, team goal achievement rate, etc.) to ensure that the data is consistent with the model calculation logic. Then, based on the calculation rules set by the model, such as the allocation weight formula and the performance weight formula, the terminal gradually calculates the allocation weight or proportion of each resource allocation object. During the calculation process, the terminal dynamically verifies the input data, such as checking whether the allocation amount exceeds the budget or meets the minimum or maximum allocation limit. Subsequently, the terminal formats the data according to the allocation results and generates object resource allocation information (such as specific allocation amounts, object lists and allocation instructions). Finally, the allocation results will be stored in the allocation result database for subsequent review, tracing and allocation execution.

[0070] In the above-mentioned object resource allocation information determination method, first, the resource allocation scope, resource allocation time and each resource allocation object information corresponding to the resource allocation task are obtained. By automatically obtaining the scope, time and object information of the resource allocation task, the inefficiency and high error rate of traditional manual extraction are avoided, thereby improving the speed and accuracy of data acquisition; then, according to the resource allocation scope, resource allocation time and each resource allocation object information, the resource allocation indicator parameters corresponding to the resource allocation task are determined, and according to the resource allocation scope, time and object information, the indicator parameters required for the resource allocation task are dynamically determined, which significantly improves the efficiency and accuracy of indicator selection. Through the standardization and modularization of the indicator parameters, it is ensured that the allocation rules can flexibly adapt to various business scenarios, while improving the fairness and pertinence of resource allocation; then, according to the resource allocation indicator parameters and Resource allocation tasks, construct resource allocation processing models corresponding to resource allocation tasks, and automatically generate resource allocation processing models based on task objectives and indicator parameters, which greatly reduces the difficulty of manually writing complex calculation rules, can flexibly respond to diverse allocation rule requirements, ensure that allocation rules are transparent and unified, and realize efficient automatic processing in allocation calculations, thereby improving the flexibility and reliability of resource allocation; finally, the resource allocation basic information corresponding to each resource allocation object information is input into the resource allocation processing model to obtain the object resource allocation information corresponding to each resource allocation object information, quickly and accurately generate the object resource allocation information, and fully realize the automation of allocation calculations. The entire calculation process is strictly based on model rules, and the results are not only accurate, but also traceable, which is convenient for post-audit and review, and enhances the credibility and operational transparency of the allocation results. In the above method, through the automation of the entire process of data acquisition, indicator parameter setting, processing model construction and allocation calculation, the efficiency and flexibility of resource allocation are significantly improved, and the operational errors and fraud risks caused by manual participation are reduced. The standardization of resource allocation rules and the transparency of the allocation process ensure the fairness and traceability of the allocation results. At the same time, through the precise calculation of the model, the accuracy of resource allocation has been greatly improved, effectively meeting the needs of modern enterprises for efficient, accurate and transparent resource allocation, and significantly reducing manpower and time costs.

[0071] In an exemplary embodiment, Figure 2 As shown, the above step S102 determines the resource allocation index parameters corresponding to the resource allocation task according to the resource allocation scope, resource allocation time and information of each resource allocation object, and can also be implemented by the following steps:

[0072] Step S201, determining the resource allocation common conditions corresponding to the resource allocation task according to the resource allocation scope and information of each resource allocation object;

[0073] Step S202, based on the current resource allocation amount corresponding to the resource allocation task, according to the resource allocation range and the information of each resource allocation object, determine the resource allocation basic information corresponding to the resource allocation task;

[0074] Step S203: selecting resource allocation index parameters from a resource allocation index library according to the common resource allocation conditions and basic resource allocation information.

[0075] Among them, the information of each resource allocation object refers to the specific attributes and historical data of the individuals or teams included in the task, such as performance records, role characteristics and affiliated organizations; the common conditions for resource allocation are shared rules applicable to multiple objects in the allocation task, such as minimum performance or a unified allocation coefficient; the basic information of resource allocation is the core data of the task, including the current resource allocation amount, target allocation object and allocation project information; the resource allocation indicator parameters are quantitative standards extracted from the resource allocation indicator library, which are used to guide the calculation of allocation rules, such as allocation weights, budget constraints or achievement rate thresholds.

[0076] Exemplarily, the terminal first extracts applicable allocation rules from the resource allocation scope of the task, such as the default budget limit and performance requirements of a region or department, and dynamically sets the common conditions for resource allocation in combination with the information of each allocation object, such as the performance threshold or minimum allocation ratio that is uniformly applicable to all objects. On this basis, the terminal calculates the current resource allocation amount of the resource allocation task, such as extracting the total amount of resources that can be allocated from the task budget, and at the same time, screens out the target allocation objects in combination with the allocation scope, such as individuals or team members who meet the performance standards. Subsequently, the terminal generates allocation project information, such as determining the resource type (such as bonus or physical reward) and allocation mode (such as proportional allocation or weighted allocation) according to the task requirements, and associates this information with the target allocation object to form complete basic information on resource allocation. Next, the terminal inputs the common conditions for resource allocation and the basic information on resource allocation into the resource allocation indicator library, and dynamically selects applicable indicator parameters through rule matching. For example, the terminal extracts the applicable allocation weight coefficient or allocation ratio threshold based on the budget limit and the performance of the allocation object. For multi-indicator tasks, the terminal adjusts the indicator selection strategy in combination with the task priority to ensure that the extracted indicator parameters can fully reflect the requirements of the allocation task and the characteristics of the allocation object.

[0077] In this embodiment, by automatically extracting the allocation scope, time and object information, the inefficiency and inaccuracy of manual settings are avoided, and the efficiency of allocation rule setting is significantly improved; by setting common conditions for resource allocation, the uniformity and sharing of the rules are ensured; by dynamically matching resource allocation indicator parameters, the flexibility and applicability of the allocation rules are improved.

[0078] In an exemplary embodiment, the above-mentioned step S201 determines the common resource allocation conditions corresponding to the resource allocation task based on the resource allocation scope and the information of each resource allocation object, and also includes: setting the general resource allocation conditions and the custom resource allocation conditions corresponding to the resource allocation task based on the resource allocation scope; setting the common resource allocation conditions based on the general resource allocation conditions and the custom resource allocation conditions.

[0079] Among them, general conditions for resource allocation are basic conditions with strong universality, which are usually applicable to all objects of the task; custom conditions for resource allocation are personalized rules set for certain objects based on specific needs, such as special allocation restrictions for a team or region.

[0080] Exemplarily, the terminal extracts applicable rule templates based on the scope of resource allocation, such as the budget cap or minimum performance compliance rate corresponding to a certain geographical area, as the basis for the initial setting of general conditions for resource allocation. Then, the terminal dynamically sets custom conditions for resource allocation in combination with the specific needs of the task, such as an allocation ratio or performance reward standard configured separately for a specific object. The setting of general conditions and custom conditions are based on the scope of the task and the object information, while ensuring the adaptability and feasibility of the conditions. Subsequently, the terminal integrates the general conditions for resource allocation with the custom conditions, and dynamically generates the common conditions corresponding to the task through the rule engine. For example, the terminal can add specific incentive coefficients for certain roles or regions based on a unified minimum compliance performance. The generated common conditions are verified by the model to ensure logical consistency and meet the task objectives.

[0081] In this embodiment, by organically combining general conditions with custom conditions, dynamic setting of common conditions for resource allocation tasks is achieved, which significantly improves the flexibility and adaptability of task rules, ensures that the allocated tasks meet both global consistency requirements and personalized needs, and embodies the combination of efficiency and accuracy.

[0082] In an exemplary embodiment, the above-mentioned step S202 determines the basic resource allocation information corresponding to the resource allocation task based on the current resource allocation amount corresponding to the resource allocation task, according to the resource allocation scope and the information of each resource allocation object, and also includes: based on the current resource allocation amount corresponding to the resource allocation task, according to the resource allocation scope, selecting the target allocation object from the information of each resource allocation object; based on the current resource allocation amount corresponding to the resource allocation task, according to the resource allocation scope, setting the resource allocation project information; associating the resource allocation project information with the target allocation object to obtain the basic resource allocation information.

[0083] Among them, the current resource allocation amount is the total amount of resources available for allocation in the resource allocation task, such as the budget amount or the number of physical resources; the target allocation object is the individual or team that meets the task requirements selected from the allocation objects; the resource allocation project information is the specific resource attributes that need to be allocated in the resource allocation task, such as the category, quantity and method of allocated resources; the basic resource allocation information is the core basic data generated by the comprehensive target object and allocation project information in the resource allocation task.

[0084] Exemplarily, the terminal extracts eligible target objects from the allocation scope according to the current resource allocation amount of the resource allocation task. For example, the terminal selects individuals or teams that meet the allocation conditions from the allocation object information according to the performance achievement rate, role type or region. The selection of the target object combines the task scope and the allocation amount constraints to ensure that it meets the actual needs of the allocation target. Then, the terminal sets the resource allocation project information based on the current resource allocation amount and the allocation scope. For example, the terminal defines specific allocation content according to the task requirements, such as bonuses, points, physical rewards or other resource categories, and further refines the allocation rules for each type of resource, including total amount constraints, allocation methods (such as proportional allocation or performance weight allocation), etc. Subsequently, the terminal associates the resource allocation project information with the target allocation object. Through a dynamic mapping relationship, the terminal binds each allocation project to the selected target object, such as associating the bonus project with a high-performance team member. The basic information of resource allocation finally generated includes a list of target objects and their corresponding allocation projects and rules, providing accurate basic data for the subsequent resource allocation processing model.

[0085] In this embodiment, through the precise screening of target allocation objects and the flexible setting of resource allocation project information, a comprehensive definition of the basic information of the resource allocation task is achieved, which significantly improves the execution efficiency of the allocation task and the rationality of the allocation rules, ensuring that resource allocation can accurately match the needs of the target objects, reflecting the combination of efficiency, precision and flexibility.

[0086] In an exemplary embodiment, the above-mentioned step S103 constructs a resource allocation processing model corresponding to the resource allocation task according to the resource allocation indicator parameters and the resource allocation task, and also includes: determining each resource condition item and each resource allocation item according to the resource allocation indicator parameters and the resource allocation task; and constructing a resource allocation processing model according to each resource condition item and each resource allocation item.

[0087] Among them, resource condition items refer to the constraints that need to be met in resource allocation tasks, such as minimum performance targets, allocation ratio restrictions, etc.; resource allocation items refer to the specific content that needs to be allocated in resource allocation tasks, such as budgets, bonuses, or materials.

[0088] Exemplarily, the terminal dynamically determines each resource condition item and resource allocation item according to the resource allocation index parameter and the resource allocation task. For example, the terminal calculates the performance weight or resource utilization efficiency of each object through the index parameter as the allocation condition item; at the same time, the specific allocation content (such as bonus, physical object or points) and its allocation rules are extracted according to the task requirements as the resource allocation item. The determination of the condition item and the allocation item ensures the integrity and applicability of the allocation task rules. Then, the terminal integrates the resource condition item and the resource allocation item to generate a resource allocation processing model. For example, the terminal inputs the "minimum performance compliance rate" and "allocation ratio" as conditions, and loads the reward amount or material allocation rules at the same time, and dynamically calculates the allocation result of the object through the formula. During the model construction process, the terminal supports the hierarchical or graded processing of condition items according to the complexity of the task, such as setting up sub-models for different regions or roles separately to ensure that the allocation rules can be flexibly adapted to multiple scenarios. After the model construction is completed, the terminal performs a logical check on the resource allocation processing model, such as verifying whether the conditions are consistent with the allocation items, whether the formula calculation meets the task objectives, etc. The model that passes the check will be used as the core logic for the subsequent allocation task execution to ensure the accuracy and reliability of the allocation results.

[0089] In this embodiment, by dynamically integrating resource condition items and resource allocation items, the precise construction of the resource allocation processing model is achieved, ensuring the flexibility and applicability of the allocation rules, while improving the efficiency of task execution and the accuracy of allocation results, providing a strong guarantee for the automated execution of resource allocation tasks.

[0090] In an exemplary embodiment, the above-mentioned resource allocation processing model is constructed based on each resource condition item and each resource allocation item, and also includes: summing up each resource condition item and each resource allocation item of any resource allocation object to obtain the object resource allocation weight of the resource allocation object; summing up each resource condition item and each resource allocation item of each resource allocation object to obtain the total object resource weight of each resource allocation object; and adjusting the ratio of the object resource allocation weight to the total object resource weight according to the current resource allocation amount corresponding to the resource allocation task to construct the resource allocation processing model.

[0091] Among them, the resource allocation weight is the allocation priority weight calculated for a single resource allocation object, reflecting the resource demand or contribution ratio of the object in the task; the total object resource weight is the sum of the resource allocation weights of all allocated objects, which is used to standardize the allocation results of each object.

[0092] Exemplarily, the terminal performs weighted summation on each resource condition item and allocation item of any resource allocation object. For example, for a certain object, the terminal calculates the contribution value (resource condition item) of its resource demand based on the performance index and role weight, and generates individual weights in combination with the allocation ratio of allocation items such as bonuses or budgets, thereby obtaining the object resource allocation weight of the object. Next, the terminal summarizes the weight values ​​of all resource allocation objects to obtain the total weight of the object resources. The total weight is used to unify the allocation ratio of all objects to ensure that the allocation result meets the overall resource constraints of the task, such as the total budget or resource upper limit. Subsequently, the terminal combines the current resource allocation amount and adjusts the ratio of the object resource allocation weight to the object resource total weight to generate a specific resource allocation processing model. For example, if the current allocation amount is lower than the resource demand corresponding to the total weight, the terminal reduces the difference in object weights by adjusting the allocation coefficient, ensuring that the allocation result can meet the total resource limit and optimize the allocation efficiency. Finally, the terminal verifies and optimizes the constructed resource allocation processing model, such as checking whether the allocation result meets the minimum or maximum allocation amount limit, whether the conditions fully meet the task requirements, etc. The verified processing model will serve as the core tool for executing subsequent allocation tasks and directly output the allocation results of each object.

[0093] In a specific example, the expression corresponding to the resource allocation processing model is:

[0094]

[0095] in, Assign objects to resources The amount of resources, is the current resource allocation, Assigning objects to resources No. resource condition items, Assigning objects to resources No. resource allocation items, To adjust the parameters of the interaction between resource condition items and resource allocation items, Assigning objects to resources The sum of all resource condition items and resource allocation items in , M represents the total number of resource condition items and resource allocation items contained in each resource allocation object, is the sum of all resource allocation objects, The total number of objects allocated for the resource.

[0096] In this embodiment, by calculating and dynamically adjusting the weights of resource condition items and allocation items, the resource allocation calculation model is accurately constructed, ensuring the fairness and flexibility of resource allocation. At the same time, the accuracy of the allocation results is improved through weight standardization and quantitative adjustment, meeting the requirements for efficient execution of complex allocation tasks.

[0097] In an exemplary embodiment, Figure 3 As shown, the present application provides a system for determining object resource allocation information, which includes a data source management module 301 , a calculation method management module 302 , an indicator management module 303 and a solution management module 304 .

[0098] The data source management model 301 is used to manage the basic data source and can be flexibly configured and managed. The data source mainly stores basic data for indicator processing, such as the insurance policy database of each province, the salesperson's customer visit database, the marketing activity related database, etc. The data source type is usually a Gaussian database, which is suitable for big data processing.

[0099] For example, the data source information may include: data source name: the identification name of the data source, such as "ah_gaussdb", "system db", etc.; data source type: the type of data source, such as "gauss" or "ocean base"; data source address: the IP address of the data source, such as "10.17.169.100"; port: the access port of the data source, such as "25308" or "3306"; user name: the user name used to connect to the data source, such as "fgs_340000_proc"; default database: the default database name associated with the data source, such as "clicmpp8_fgsa"; creator: the name of the user who created the data source record, such as "Liu Jian" or "Li Ming"; creation time: the creation date and time of the data source record, such as "2024-03-30 14:28:13".

[0100] The calculation method management module 302, the calculation method is a set of SQL with parameters, which is used for indicator processing. When defining, the data source needs to be specified and the parameters need to be bound to determine the parameter type.

[0101] The basic information of the calculation method may include: calculation method name: the identification name of the current calculation method, such as "a certain human resources assessment"; calculation method description: describe the function or purpose of the calculation method; data source: select the data source used for calculation, such as "Zhejiang Gauss"; usage status: shows whether the calculation method is enabled in the current task.

[0102] Users can enter custom SQL statements in the code box to implement specific calculation logic. For example, SQL statements filter and count a data table to calculate the number of resources that meet the conditions.

[0103] Parameter configuration: users can define dynamic parameters in SQL statements, such as "branchno" (organization number), "startTime" (start time), "endTime" (end time), etc.; each parameter has a corresponding parameter type (such as string or date), default value, whether it is required, etc. to ensure parameter adaptability; parameters support dynamic binding and are suitable for different task scenarios.

[0104] Indicator management module 303, the indicator system in the current system includes five types of indicators, namely, personal manpower, personal premium, team manpower, team premium, and personal activity. Indicators are the basis for determining whether to issue rewards and how much rewards to issue. Indicators are processed based on calculation methods. When defining indicators, they need to be bound to a certain output column of a certain calculation method.

[0105] Indicator information may include: Indicator type: the category to which the indicator belongs, such as "personal manpower" and "team manpower"; Indicator name: the identification name of the indicator, such as "personal employment rate" and "number of personal employees"; Description information: a brief description of the calculation logic or purpose of the indicator; Calculation method: the name of the calculation method associated with the indicator, such as "Zhejiang Personal Employment Formula"; Calculation result field: describes the specific data field generated after the calculation, such as "valid data" and "qualified rate", etc.; Creator: identifies the name of the creator of the indicator, such as "Zhang Gongcheng" or "Liu Jian"; Update time: marks the time when the indicator was last updated, such as "2024-07-14 15:09:21".

[0106] In the scheme management module 304, a reward scheme can consist of multiple rewards, and the conditions for obtaining rewards and the reward value are set based on indicators. It can be summarized as follows: a scheme is a collection of rewards; the basis for reward calculation is indicators; indicators are instantiations of calculation methods.

[0107] In addition, the system can provide multi-terminal access, including PC and mobile terminals, which can be accessed in the intranet or Internet environment. In the intranet, the access request is sent from the terminal, forwarded to the intranet F5 through the DMZ area load balancing, and forwarded to the corresponding container application of the private cloud through the service grid gateway. The container cloud also provides caching services, content storage services, message queues and other services.

[0108] In a specific example, the above system can be applied to Figure 4 In the architecture shown.

[0109] The bottom layer is a private cloud platform built on Kubernetes (k8s), and applications are deployed in the company's private cloud environment in the form of Docker images. It supports distributed computing and storage, provides elastic computing capabilities, and ensures high availability and scalability of the system.

[0110] The data source includes the original databases of multiple business systems, including both relational databases (such as OceanBase, PolarDB, and Gauss) and non-relational databases (such as Hive and HBase). Data is extracted from the business system through the cloud scheduling platform and stored in the Gaussian database of each province, providing basic data support for subsequent indicator processing.

[0111] The indicator processing mainly uses the SpringBatch batch processing framework for batch processing of big data. The processed indicator data is stored in the OceanBase database through ShardingJDBC sub-library and sub-table to ensure the efficiency and scalability of data storage. The data processing at this layer is the basis for reward calculation, ensuring the accuracy and real-time nature of the data.

[0112] Furthermore, in an exemplary embodiment, Figure 5 The figure shows the process of setting up a reward scheme in the above system, including:

[0113] Step S501: input basic information of the plan.

[0114] The basic information of the plan mainly includes the organization, part, start and end time of the plan, scope of participants and other basic information. The participants can be selected by organization and imported by list.

[0115] Step S502, reward acquisition public condition setting.

[0116] The common conditions for rewards are applicable to situations where multiple awards in a plan have the same winning conditions. For example, a plan has multiple awards that require the salesperson’s attendance coefficient to reach 0.6, or require the short-term insurance premium to reach 1,000 yuan.

[0117] Step S503, set rewards, create new rewards and set basic reward information.

[0118] The basic information of the reward includes commission items and participants, where the participants can be the same as the plan or customized.

[0119] Step S504, obtain "basic indicators" from the indicator library and set indicator parameters.

[0120] Step S505, setting the reward obtaining condition formula and the reward amount formula.

[0121] Set up reward acquisition condition formula and reward amount formula, and set up sub-award acquisition condition formula and reward value formula based on reward-related indicators or existing sub-awards. For example, when the accepted premium for personal long-term insurance is greater than or equal to 100,000 and 200,000, a reward of 5% of the total premium will be given.

[0122] Step S506, submit and publish.

[0123] After the reward setting is completed, submit the release plan. The background will automatically process the indicators involved in the plan and store the indicator data in the indicator table. The system will then automatically parse the reward condition formula and the reward amount formula based on the indicator value to complete the calculation and storage of the reward amount.

[0124] In this embodiment, the online management and calculation of rewards are realized, which not only significantly saves labor costs, but also greatly improves efficiency and accuracy. Through the automated process of the system, the whole process from data collection to allocation calculation is seamlessly connected, avoiding the inefficiency and error-prone problems in traditional manual operations. At the same time, the online platform ensures the transparency and traceability of reward calculations through authority management, operation records and built-in rule engines, avoiding fraud risks such as human intervention and data tampering. In addition, the system's verification mechanism and dynamic adjustment capabilities effectively reduce operational risks, making the allocation process safer and more reliable. In the end, this online model not only optimizes the company's reward distribution process, but also provides companies with more scientific data support and decision-making basis, and improves the fairness and flexibility of the incentive mechanism.

[0125] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0126] Based on the same inventive concept, the embodiment of the present application also provides an object resource allocation information determination device for implementing the object resource allocation information determination method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in the embodiments of one or more object resource allocation information determination devices provided below can refer to the limitations of the object resource allocation information determination method above, and will not be repeated here.

[0127] In an exemplary embodiment, Figure 6As shown, a device for determining object resource allocation information is provided, comprising: an information acquisition module 601, an indicator determination module 602, a model construction module 603 and an allocation determination module 604, wherein:

[0128] The information acquisition module 601 is used to acquire the resource allocation scope, resource allocation time and each resource allocation object information corresponding to the resource allocation task;

[0129] The indicator determination module 602 is used to determine the resource allocation indicator parameters corresponding to the resource allocation task according to the resource allocation scope, resource allocation time and information of each resource allocation object;

[0130] Model building module 603, used to build a resource allocation processing model corresponding to the resource allocation task according to the resource allocation indicator parameters and the resource allocation task;

[0131] The allocation determination module 604 is used to input the resource allocation basic information corresponding to each resource allocation object information into the resource allocation processing model to obtain the object resource allocation information corresponding to each resource allocation object information.

[0132] In one of the embodiments, the above-mentioned indicator determination module 602 is also used to determine the common resource allocation conditions corresponding to the resource allocation task according to the resource allocation scope and the information of each resource allocation object; based on the current resource allocation amount corresponding to the resource allocation task, according to the resource allocation scope and the information of each resource allocation object, determine the basic resource allocation information corresponding to the resource allocation task; according to the common resource allocation conditions and the basic resource allocation information, select resource allocation indicator parameters from the resource allocation indicator library.

[0133] In one embodiment, the indicator determination module 602 is further used to set the general resource allocation conditions and the custom resource allocation conditions corresponding to the resource allocation task according to the resource allocation scope; and to set the common resource allocation conditions according to the general resource allocation conditions and the custom resource allocation conditions.

[0134] In one of the embodiments, the indicator determination module 602 is also used to select a target allocation object from each resource allocation object information based on the current resource allocation amount corresponding to the resource allocation task and the resource allocation range; to set resource allocation project information based on the current resource allocation amount corresponding to the resource allocation task and the resource allocation range; and to associate the resource allocation project information with the target allocation object to obtain basic resource allocation information.

[0135] In one embodiment, the model building module 603 is further used to determine each resource condition item and each resource allocation item according to resource allocation indicator parameters and resource allocation tasks; and to build a resource allocation processing model according to each resource condition item and each resource allocation item.

[0136] In one of the embodiments, the above-mentioned model construction module 603 is also used to sum up each resource condition item and each resource allocation item of any resource allocation object to obtain the object resource allocation weight of the resource allocation object; sum up each resource condition item and each resource allocation item of each resource allocation object to obtain the total object resource weight of each resource allocation object; adjust the ratio of the object resource allocation weight and the total object resource weight according to the current resource allocation amount corresponding to the resource allocation task, and construct a resource allocation processing model.

[0137] Each module in the above-mentioned object resource allocation information determination device can be implemented in whole or in part by software, hardware and a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each of the above modules.

[0138] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 7 As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, near field communication (NFC) or other technologies. When the computer program is executed by the processor, a method for determining object resource allocation information is implemented. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0139] Those skilled in the art will understand that Figure 7The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0140] In one embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

[0141] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0142] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0143] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0144] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0145] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0146] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for determining object resource allocation information, characterized in that: The method comprises: Obtain the resource allocation scope, resource allocation time and resource allocation object information corresponding to the resource allocation task; Determine the resource allocation index parameter corresponding to the resource allocation task according to the resource allocation scope, the resource allocation time and the information of each resource allocation object; Constructing a resource allocation processing model corresponding to the resource allocation task according to the resource allocation indicator parameter and the resource allocation task; The resource allocation basic information corresponding to each resource allocation object information is input into the resource allocation processing model to obtain the object resource allocation information corresponding to each resource allocation object information.

2. The method according to claim 1, characterized in that The determining, according to the resource allocation range, the resource allocation time and the information of each resource allocation object, a resource allocation indicator parameter corresponding to the resource allocation task includes: Determining a common resource allocation condition corresponding to the resource allocation task according to the resource allocation scope and the information of each resource allocation object; Based on the current resource allocation amount corresponding to the resource allocation task, according to the resource allocation range and the information of each resource allocation object, determine the resource allocation basic information corresponding to the resource allocation task; According to the common resource allocation conditions and the basic resource allocation information, resource allocation indicator parameters are selected from a resource allocation indicator library.

3. The method according to claim 2, characterized in that The determining, according to the resource allocation range and the information of each resource allocation object, the resource allocation common condition corresponding to the resource allocation task includes: According to the resource allocation scope, setting the resource allocation general conditions and resource allocation custom conditions corresponding to the resource allocation task; The resource allocation common condition is set according to the resource allocation general condition and the resource allocation custom condition.

4. The method according to claim 2, characterized in that The determining of the resource allocation basic information corresponding to the resource allocation task based on the current resource allocation amount corresponding to the resource allocation task according to the resource allocation range and the information of each resource allocation object includes: Based on the current resource allocation amount corresponding to the resource allocation task and according to the resource allocation range, selecting a target allocation object from the resource allocation object information; Based on the current resource allocation amount corresponding to the resource allocation task and according to the resource allocation range, setting resource allocation project information; The resource allocation project information is associated with the target allocation object to obtain the resource allocation basic information.

5. The method according to any one of claims 1 to 4, characterized in that: The step of constructing a resource allocation processing model corresponding to the resource allocation task according to the resource allocation indicator parameter and the resource allocation task includes: Determining each resource condition item and each resource allocation item according to the resource allocation indicator parameter and the resource allocation task; The resource allocation processing model is constructed according to each of the resource condition items and each of the resource allocation items.

6. The method according to claim 5, characterized in that The step of constructing the resource allocation processing model according to each of the resource condition items and each of the resource allocation items includes: Summing the resource condition items and the resource allocation items of any resource allocation object to obtain an object resource allocation weight of the resource allocation object; Summing the resource condition items and the resource allocation items of each resource allocation object to obtain a total object resource weight of each resource allocation object; According to the current resource allocation amount corresponding to the resource allocation task, the ratio of the object resource allocation weight to the object resource total weight is adjusted to construct the resource allocation processing model.

7. A device for determining object resource allocation information, characterized in that: The device comprises: An information acquisition module is used to obtain the resource allocation scope, resource allocation time and information of each resource allocation object corresponding to the resource allocation task; An indicator determination module, used to determine the resource allocation indicator parameter corresponding to the resource allocation task according to the resource allocation scope, the resource allocation time and the information of each resource allocation object; A model building module, used to build a resource allocation processing model corresponding to the resource allocation task according to the resource allocation indicator parameters and the resource allocation task; The allocation determination module is used to input the resource allocation basic information corresponding to each resource allocation object information into the resource allocation processing model to obtain the object resource allocation information corresponding to each resource allocation object information.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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