Object model-based index resource allocation method, system and terminal

Abstract

The invention discloses an index resource allocation method and system based on an object model and a terminal, and the method comprises the steps: decomposing a target organization into a plurality of objects according to unit information, and dividing object data into static data and dynamic data; and determining a demand index according to the demand task, and determining static data and dynamic data meeting the demand index, thereby selecting a plurality of second objects, constructing a target sub-organization, and allocating a plurality of index resources to the target sub-organization. According to the method, the target organization is decomposed into a plurality of objects, different types of data of each minimum unit organization are combined, and the objects meeting the demand tasks are selected, so that the most reasonable index distribution scheme is generated, mass data in the target organization are fully utilized, the management efficiency of the target organization is improved, and the management efficiency of the target organization is improved. And the rationality of index resource allocation is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of indicator allocation, and in particular to an indicator resource allocation method, system, terminal and computer-readable storage medium based on an object model. Background Art

[0002] With the rapid development of information technology, enterprises are able to collect unprecedented amounts of data. These data cover market trends, customer needs, operational efficiency, financial health and other aspects, and have a significant impact on the accuracy and efficiency of decision-making.

[0003] However, the current analysis process of massive data in enterprises has problems such as low data analysis efficiency and loose connection between data objects. This leads to unreasonable allocation of resource indicators when enterprises allocate resources to organizations, thereby reducing the efficiency of resource management.

[0004] Therefore, the prior art still needs to be improved and developed. Summary of the invention

[0005] The main purpose of the present invention is to provide an indicator resource allocation method, system, terminal and computer-readable storage medium based on an object model, aiming to solve the problems in the prior art of low data analysis efficiency and loose connection between data objects, which leads to unreasonable resource indicator allocation when allocating resources to an organization.

[0006] To achieve the above object, the present invention provides an indicator resource allocation method based on an object model, and the indicator resource allocation method based on an object model comprises the following steps:

[0007] Acquire unit information of a target organization, and decompose the target organization into multiple objects according to the unit information;

[0008] Dividing the object data of each of the objects into static data and dynamic data, and obtaining the required tasks input by the user;

[0009] Determine a demand indicator according to the demand task, determine a plurality of target static data that meet the demand indicator from all the static data, and obtain a plurality of first objects corresponding to each of the target static data, wherein the first object is selected from all the objects;

[0010] Selecting a plurality of target dynamic data that meet the requirement index from all the dynamic data, and obtaining a plurality of second objects corresponding to each of the target dynamic data, wherein the second objects are selected from all the first objects;

[0011] A plurality of the second objects are used to construct a target sub-organization, and a plurality of indicator resources are allocated to the target sub-organization.

[0012] Optionally, in the object model-based indicator resource allocation method, the unit information includes: business status information, cost information and recovery information;

[0013] The acquiring unit information of the target organization and decomposing the target organization into multiple objects according to the unit information specifically includes:

[0014] Acquire all data of the target organization within a preset time, perform abstract processing on all the data, and obtain a plurality of business status information, a plurality of cost information, and a plurality of recycling information;

[0015] Decomposing the target organization according to each of the business status information, each of the cost information, and each of the recycling information to obtain a plurality of objects;

[0016] The business property information corresponding to each of the objects is determined according to the business status information, the cost information and the recycling information of each object.

[0017] Optionally, the object model-based indicator resource allocation method, wherein the object data of each object is divided into static data and dynamic data, and the required task input by the user is obtained, specifically includes:

[0018] extracting object data of each of the objects from the unit information;

[0019] According to all the business nature information, each object data is divided into static data and dynamic data, and the required tasks input by the user are obtained.

[0020] Optionally, the object model-based indicator resource allocation method, wherein the step of determining the demand indicator according to the demand task, determining a plurality of target static data that meet the demand indicator from all the static data, and obtaining a plurality of first objects corresponding to each of the target static data, specifically includes:

[0021] Determining a demand indicator according to the demand task, wherein the demand indicator represents a resource indicator required to perform the demand task;

[0022] According to the demand indicator, multiple target static data are selected from all the static data;

[0023] According to each of the target static data, a corresponding plurality of first objects are selected from all the objects.

[0024] Optionally, the object model-based indicator resource allocation method, wherein the step of selecting a plurality of target dynamic data that meet the demand indicator from all the dynamic data and obtaining a plurality of second objects corresponding to each of the target dynamic data, specifically includes:

[0025] Filtering the dynamic data of each of the first objects from all the dynamic data;

[0026] According to the demand indicator, multiple target dynamic data are selected from all the dynamic data of the first object;

[0027] According to each of the target dynamic data, a corresponding plurality of second objects are selected from all the first objects.

[0028] Optionally, the object model-based indicator resource allocation method, wherein the step of constructing a target sub-organization with the plurality of second objects and allocating a plurality of indicator resources to the target sub-organization, further comprises:

[0029] Filtering target business nature information of each second object from all the business nature information;

[0030] According to each of the target business property information, a plurality of resource indicators applicable to the second object are determined.

[0031] Optionally, the object model-based indicator resource allocation method, wherein the step of constructing a target sub-organization with the plurality of second objects and allocating a plurality of indicator resources to the target sub-organization, specifically includes:

[0032] Determine a plurality of target resource indicators according to the required task, wherein the target resource indicators represent resource indicators required to execute the required task;

[0033] According to all the target resource indicators, screening out a plurality of target objects from all the second objects;

[0034] According to all the target objects, a target sub-organization is constructed, and information is allocated according to indicators for generating the target sub-organization;

[0035] According to the indicator allocation information, the target resource indicators of all the second objects in the target sub-organization are allocated to the target sub-organization.

[0036] In addition, to achieve the above-mentioned purpose, the present invention also provides an indicator resource allocation system based on an object model, wherein the indicator resource allocation system based on an object model comprises:

[0037] An organization decomposition unit, used to obtain unit information of a target organization and decompose the target organization into multiple objects according to the unit information;

[0038] A data division module, used to divide the object data of each object into static data and dynamic data, and obtain the required tasks input by the user;

[0039] A first object screening module is used to determine a demand indicator according to the demand task, and determine a plurality of target static data that meet the demand indicator from all the static data, and obtain a plurality of first objects corresponding to each of the target static data, wherein the first object is selected from all the objects;

[0040] A second object screening module, used to select a plurality of target dynamic data that meet the requirement index from all the dynamic data, and obtain a plurality of second objects corresponding to each of the target dynamic data, wherein the second objects are selected from all the first objects;

[0041] An indicator resource allocation module is used to construct a target sub-organization with multiple second objects and allocate multiple indicator resources to the target sub-organization.

[0042] In addition, to achieve the above-mentioned purpose, the present invention also provides a terminal, wherein the terminal includes: a memory, a processor, and an object model-based indicator resource allocation program stored in the memory and executable on the processor, and the object model-based indicator resource allocation program, when executed by the processor, implements the steps of the object model-based indicator resource allocation method as described above.

[0043] In addition, to achieve the above-mentioned purpose, the present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores an indicator resource allocation program based on an object model, and when the indicator resource allocation program based on the object model is executed by a processor, it implements the steps of the indicator resource allocation method based on the object model as described above.

[0044] In the present invention, the unit information of the target organization is obtained, and the target organization is decomposed into multiple objects according to the unit information; the object data of each object is divided into static data and dynamic data, and the demand task input by the user is obtained; the demand index is determined according to the demand task, and multiple target static data that meet the demand index are determined in all the static data, and multiple first objects corresponding to each target static data are obtained, wherein the first object is selected from all the objects; multiple target dynamic data that meet the demand index are selected from all the dynamic data, and multiple second objects corresponding to each target dynamic data are obtained, wherein the second object is selected from all the first objects; multiple second objects are constructed into a target sub-organization, and multiple indicator resources are allocated to the target sub-organization. The present invention decomposes the target organization into multiple objects, combines different types of data of each minimum unit organization, selects objects that meet the demand task, thereby generating the most reasonable indicator allocation scheme, making full use of the massive data in the target organization, improving the management efficiency of the target organization, and improving the rationality of indicator resource allocation. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 It is a flow chart of a preferred embodiment of the indicator resource allocation method based on the object model of the present invention;

[0046] Figure 2 It is a specific flow chart of a preferred embodiment of the indicator resource allocation method based on the object model of the present invention;

[0047] Figure 3 It is an object combing flow chart of a preferred embodiment of the indicator resource allocation method based on the object model of the present invention;

[0048] Figure 4 It is a structural diagram of a preferred embodiment of the indicator resource allocation system based on the object model of the present invention;

[0049] Figure 5 Schematic diagram of the operating environment of a preferred embodiment of the terminal of the present invention. DETAILED DESCRIPTION

[0050] In order to make the purpose, technical solution and advantages of the present invention clearer and more specific, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0051] The object model-based indicator resource allocation method described in the preferred embodiment of the present invention is as follows: Figure 1 As shown, the indicator resource allocation method based on the object model includes the following steps:

[0052] Step S10: Acquire unit information of a target organization, and decompose the target organization into multiple objects according to the unit information.

[0053] The unit information includes: business status information, cost information and recycling information. First, all data of the target organization in a certain period of time is obtained, and the business status information, cost information and recycling information are sorted out, so as to decompose the target organization into multiple object models, including customers, suppliers, channels, business lines, etc.

[0054] Specifically, all data of the target organization within a preset time is obtained, and all the data are abstracted to obtain a plurality of the business status information, a plurality of the cost information and a plurality of the recycling information; according to each of the business status information, each of the cost information and each of the recycling information, the target organization is decomposed to obtain a plurality of objects; according to the business status information, the cost information and the recycling information of each object, the business nature information corresponding to each of the objects is determined.

[0055] Among them, Figure 2 As shown, based on the abstract business status information, multiple objects of the "organization dimension" can be decomposed, based on the abstract cost information, multiple indicator resources can be decomposed, and based on the abstract recycling information, multiple objects of the "matter dimension" can be decomposed. Through abstract analysis of massive data, the data related to the target organization is screened out and then decomposed into multiple object models, the efficiency of data management is improved, which helps to obtain a more reasonable resource indicator allocation plan.

[0056] Step S20: Divide the object data of each object into static data and dynamic data, and obtain the required task input by the user.

[0057] Specifically, object data of each object is extracted from the unit information; each object data is divided into static data and dynamic data according to all the business nature information, and the required task input by the user is obtained.

[0058] Among them, after dividing out multiple objects, the business nature information of each object (including the frequency of data changes) is obtained, and the object data of each object is divided into static data and dynamic data according to the frequency of data changes of each object itself. At the same time, according to the business nature information of each object, the corresponding relationship (including one-to-many and many-to-many relationships) when each object interacts with data is determined, thereby improving the convenience of data management; after determining the data correspondence between different objects, the required tasks input by the user are obtained, thereby improving the rationality of task allocation.

[0059] Step S30, determining a demand indicator according to the demand task, and determining a plurality of target static data that meet the demand indicator from all the static data, and obtaining a plurality of first objects corresponding to each of the target static data, wherein the first object is selected from all the objects.

[0060] In the process of allocating demand tasks, the corresponding relationship between objects and indicators also needs to be considered, and then according to the conditions of the demand tasks, the target static data is screened out from all static data, thereby screening out a suitable first object.

[0061] Specifically, a demand indicator is determined according to the demand task, wherein the demand indicator represents a resource indicator required to execute the demand task; according to the demand indicator, multiple target static data are selected from all the static data; and according to each of the target static data, corresponding multiple first objects are selected from all the objects.

[0062] Among them, first, according to the relevant information in the demand task, the properties required to execute the demand task and the relevant demand indicators are determined, and then the first object that meets the properties and has a corresponding relationship with the relevant demand indicators is preliminarily screened out from all objects. This process can also be achieved by screening out the target static data from all static data. This can improve the visualization of the first object screening process, enable the administrator to clearly understand the object screening process, and help improve the rationality of resource allocation.

[0063] Step S40: Select multiple target dynamic data that meet the demand indicators from all the dynamic data, and obtain multiple second objects corresponding to each of the target dynamic data, wherein the second objects are selected from all the first objects.

[0064] Specifically, the dynamic data of each of the first objects is filtered from all the dynamic data; a plurality of target dynamic data is selected from the dynamic data of all the first objects according to the demand index; and a corresponding plurality of second objects is selected from all the first objects according to each of the target dynamic data.

[0065] Among them, after completing the preliminary screening of the object model, by monitoring all the dynamic data of the first object, and further screening out multiple target dynamic data that meet the demand indicators, that is, screening out the second objects that meet the demand tasks, and assigning the corresponding demand indicators to these second objects, the efficiency of task execution is improved, and the accuracy of digital analysis and the rationality of resource allocation are further improved.

[0066] Furthermore, target business property information of each second object is screened out from all the business property information; and multiple resource indicators applicable to the second object are determined based on each target business property information.

[0067] Among them, Figure 3 As shown, for each screened second object, according to the target business property information of each object, a related property standard table is generated ( Figure 3 The object model standard table in the object model is used to preliminarily allocate different resource indicators to different second objects. If there is an inappropriate allocation of the corresponding relationship, the allocation plan can be adjusted in time, which improves the flexibility and automation process of resource allocation, improves employee work efficiency, and reduces management costs.

[0068] Step S50: construct a target sub-organization with the plurality of the second objects, and allocate a plurality of indicator resources to the target sub-organization.

[0069] Specifically, based on the required task, multiple target resource indicators are determined, wherein the target resource indicators represent the resource indicators required to execute the required task; based on all the target resource indicators, multiple target objects are screened out from all the second objects; based on all the target objects, a target sub-organization is constructed, and indicator allocation information of the target sub-organization is generated; based on the indicator allocation information, the target resource indicators of all the second objects in the target sub-organization are allocated to the target sub-organization.

[0070] Among them, according to different demand tasks, the required target resource indicators are determined, and the corresponding target objects are screened out according to the required target resource indicators. Then, these target objects are constructed into a target sub-organization, and different demand tasks are executed with the target sub-organization as a unit, thereby improving the flexibility of task execution. When the demand task is completed, the target sub-organization is further decomposed into multiple target objects to facilitate the construction of other target sub-organizations when executing other demand tasks. There is no need to deactivate or load indicators for an unchanged target sub-organization, thereby improving the flexibility of resource allocation and management efficiency.

[0071] The present invention decomposes the target organization into multiple objects, combines the different types of data of each minimum unit organization, selects the object that meets the required tasks, and thus generates the most reasonable indicator allocation plan, fully utilizes the massive data in the target organization, improves the management efficiency of the target organization, and improves the rationality of indicator resource allocation.

[0072] Furthermore, if Figure 4As shown, based on the above-mentioned object model-based indicator resource allocation method, the present invention also provides an object model-based indicator resource allocation system, wherein the object model-based indicator resource allocation system includes:

[0073] A tissue decomposition unit 51, used to obtain unit information of a target tissue, and decompose the target tissue into multiple objects according to the unit information;

[0074] A data division module 52, used to divide the object data of each object into static data and dynamic data, and obtain the required tasks input by the user;

[0075] A first object screening module 53 is used to determine a demand indicator according to the demand task, and determine a plurality of target static data that meet the demand indicator from all the static data, and obtain a plurality of first objects corresponding to each of the target static data, wherein the first object is selected from all the objects;

[0076] A second object screening module 54 is used to select a plurality of target dynamic data that meet the requirement index from all the dynamic data, and obtain a plurality of second objects corresponding to each of the target dynamic data, wherein the second objects are selected from all the first objects;

[0077] The indicator resource allocation module 55 is used to construct a target sub-organization with multiple second objects and allocate multiple indicator resources to the target sub-organization.

[0078] Furthermore, if Figure 5 As shown, based on the above-mentioned object model-based indicator resource allocation method and system, the present invention also provides a terminal accordingly, and the terminal includes a processor 10, a memory 20 and a display 30. Figure 5 Only some components of the terminal are shown, but it should be understood that it is not required to implement all of the components shown, and more or fewer components may be implemented instead.

[0079] In some embodiments, the memory 20 may be an internal storage unit of the terminal, such as a hard disk or memory of the terminal. In other embodiments, the memory 20 may also be an external storage device of the terminal, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the terminal. Further, the memory 20 may also include both an internal storage unit of the terminal and an external storage device. The memory 20 is used to store application software and various types of data installed on the terminal, such as the program code of the installation terminal. The memory 20 may also be used to temporarily store data that has been output or is to be output. In one embodiment, an object model-based indicator resource allocation program 40 is stored on the memory 20, and the object model-based indicator resource allocation program 40 can be executed by the processor 10, thereby realizing the object model-based indicator resource allocation method in the present application.

[0080] In some embodiments, the processor 10 may be a central processing unit (CPU), a microprocessor or other data processing chip, used to run the program code or process data stored in the memory 20, such as executing the object model-based indicator resource allocation method.

[0081] In some embodiments, the display 30 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, etc. The display 30 is used to display information on the terminal and to display a visual user interface. The components of the terminal communicate with each other via a system bus.

[0082] In one embodiment, when the processor 10 executes the object model-based indicator resource allocation program 40 in the memory 20, the following steps are implemented:

[0083] Acquire unit information of a target organization, and decompose the target organization into multiple objects according to the unit information;

[0084] Dividing the object data of each of the objects into static data and dynamic data, and obtaining the required tasks input by the user;

[0085] Determine a demand indicator according to the demand task, determine a plurality of target static data that meet the demand indicator from all the static data, and obtain a plurality of first objects corresponding to each of the target static data, wherein the first object is selected from all the objects;

[0086] Selecting a plurality of target dynamic data that meet the requirement index from all the dynamic data, and obtaining a plurality of second objects corresponding to each of the target dynamic data, wherein the second objects are selected from all the first objects;

[0087] A plurality of the second objects are used to construct a target sub-organization, and a plurality of indicator resources are allocated to the target sub-organization.

[0088] The unit information includes: business status information, cost information and recycling information;

[0089] The acquiring unit information of the target organization and decomposing the target organization into multiple objects according to the unit information specifically includes:

[0090] Acquire all data of the target organization within a preset time, perform abstract processing on all the data, and obtain a plurality of business status information, a plurality of cost information, and a plurality of recycling information;

[0091] Decomposing the target organization according to each of the business status information, each of the cost information, and each of the recycling information to obtain a plurality of objects;

[0092] The business property information corresponding to each of the objects is determined according to the business status information, the cost information and the recycling information of each object.

[0093] The step of dividing the object data of each object into static data and dynamic data and obtaining the required task input by the user specifically includes:

[0094] extracting object data of each of the objects from the unit information;

[0095] According to all the business nature information, each object data is divided into static data and dynamic data, and the required tasks input by the user are obtained.

[0096] The step of determining the demand indicator according to the demand task, determining a plurality of target static data that meet the demand indicator from all the static data, and obtaining a plurality of first objects corresponding to each of the target static data specifically includes:

[0097] Determining a demand indicator according to the demand task, wherein the demand indicator represents a resource indicator required to perform the demand task;

[0098] According to the demand indicator, multiple target static data are selected from all the static data;

[0099] According to each of the target static data, a corresponding plurality of first objects are selected from all the objects.

[0100] The step of selecting a plurality of target dynamic data that meet the requirement index from all the dynamic data and obtaining a plurality of second objects corresponding to each of the target dynamic data specifically includes:

[0101] Filtering the dynamic data of each of the first objects from all the dynamic data;

[0102] According to the demand indicator, multiple target dynamic data are selected from all the dynamic data of the first object;

[0103] According to each of the target dynamic data, a corresponding plurality of second objects are selected from all the first objects.

[0104] The step of constructing a target sub-organization from the plurality of the second objects and allocating a plurality of indicator resources to the target sub-organization may also include:

[0105] Filtering target business nature information of each second object from all the business nature information;

[0106] According to each of the target business property information, a plurality of resource indicators applicable to the second object are determined.

[0107] The step of constructing a target sub-organization with the plurality of the second objects and allocating a plurality of indicator resources to the target sub-organization specifically includes:

[0108] Determine a plurality of target resource indicators according to the required task, wherein the target resource indicators represent resource indicators required to execute the required task;

[0109] According to all the target resource indicators, screening out a plurality of target objects from all the second objects;

[0110] According to all the target objects, a target sub-organization is constructed, and information is allocated according to indicators for generating the target sub-organization;

[0111] According to the indicator allocation information, the target resource indicators of all the second objects in the target sub-organization are allocated to the target sub-organization.

[0112] The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores an object model-based indicator resource allocation program, and when the object model-based indicator resource allocation program is executed by a processor, the steps of the object model-based indicator resource allocation method as described above are implemented.

[0113] In summary, the present invention provides an indicator resource allocation method based on an object model and related equipment, the method comprising: obtaining unit information of a target organization, and decomposing the target organization into multiple objects according to the unit information; dividing the object data of each object into static data and dynamic data, and obtaining the required task input by the user; determining the required indicator according to the required task, and determining multiple target static data that meet the required indicator in all the static data, and obtaining multiple first objects corresponding to each target static data, wherein the first object is selected from all the objects; selecting multiple target dynamic data that meet the required indicator in all the dynamic data, and obtaining multiple second objects corresponding to each target dynamic data, wherein the second object is selected from all the first objects; constructing a target sub-organization with multiple second objects, and allocating multiple indicator resources to the target sub-organization. The present invention decomposes the target organization into multiple objects, selects the object that meets the required task by combining different types of data of each minimum unit organization, thereby generating the most reasonable indicator allocation scheme, making full use of the massive data in the target organization, improving the management efficiency of the target organization, and improving the rationality of indicator resource allocation.

[0114] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or terminal including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or terminal. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or terminal including the element.

[0115] Of course, those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing related hardware (such as a processor, a controller, etc.) through a computer program, and the program can be stored in a computer-readable storage medium that can be read by a computer, and the program can include the processes of the above-mentioned method embodiments when executed. The computer-readable storage medium can be a memory, a disk, an optical disk, etc.

[0116] It should be understood that the application of the present invention is not limited to the above examples. For ordinary technicians in this field, improvements or changes can be made based on the above description. All these improvements and changes should fall within the scope of protection of the claims attached to the present invention.

Claims

1. An indicator resource allocation method based on an object model, characterized in that: The object model-based indicator resource allocation method includes: Acquire unit information of a target organization, and decompose the target organization into multiple objects according to the unit information; Dividing the object data of each of the objects into static data and dynamic data, and obtaining the required tasks input by the user; Determine a demand indicator according to the demand task, determine a plurality of target static data that meet the demand indicator from all the static data, and obtain a plurality of first objects corresponding to each of the target static data, wherein the first object is selected from all the objects; Selecting a plurality of target dynamic data that meet the requirement index from all the dynamic data, and obtaining a plurality of second objects corresponding to each of the target dynamic data, wherein the second objects are selected from all the first objects; A plurality of the second objects are used to construct a target sub-organization, and a plurality of indicator resources are allocated to the target sub-organization.

2. The object model-based indicator resource allocation method according to claim 1, characterized in that: The unit information includes: business status information, cost information and recovery information; The acquiring unit information of the target organization and decomposing the target organization into multiple objects according to the unit information specifically includes: Acquire all data of the target organization within a preset time, perform abstract processing on all the data, and obtain a plurality of business status information, a plurality of cost information, and a plurality of recycling information; Decomposing the target organization according to each of the business status information, each of the cost information, and each of the recycling information to obtain a plurality of objects; The business property information corresponding to each of the objects is determined according to the business status information, the cost information and the recycling information of each object.

3. The object model-based indicator resource allocation method according to claim 2, characterized in that: The task of dividing the object data of each object into static data and dynamic data and obtaining the required data input by the user specifically includes: extracting object data of each of the objects from the unit information; According to all the business nature information, each object data is divided into static data and dynamic data, and the required tasks input by the user are obtained.

4. The object model-based indicator resource allocation method according to claim 1, characterized in that: The step of determining the demand indicator according to the demand task, determining a plurality of target static data that meet the demand indicator from all the static data, and obtaining a plurality of first objects corresponding to each of the target static data specifically includes: Determining a demand indicator according to the demand task, wherein the demand indicator represents a resource indicator required to perform the demand task; According to the demand indicator, multiple target static data are selected from all the static data; According to each of the target static data, a corresponding plurality of first objects are selected from all the objects.

5. The object model-based indicator resource allocation method according to claim 1, characterized in that: The step of selecting a plurality of target dynamic data that meet the requirement index from all the dynamic data and obtaining a plurality of second objects corresponding to each of the target dynamic data specifically includes: Filtering the dynamic data of each of the first objects from all the dynamic data; According to the demand indicator, multiple target dynamic data are selected from all the dynamic data of the first object; According to each of the target dynamic data, a corresponding plurality of second objects are selected from all the first objects.

6. The object model-based indicator resource allocation method according to claim 2, characterized in that: The step of constructing a target sub-organization from the plurality of the second objects and allocating a plurality of indicator resources to the target sub-organization also includes: Filtering target business nature information of each second object from all the business nature information; According to each of the target business property information, a plurality of resource indicators applicable to the second object are determined.

7. The object model-based indicator resource allocation method according to claim 6, characterized in that: The step of constructing a target sub-organization from the plurality of second objects and allocating a plurality of indicator resources to the target sub-organization specifically includes: Determine a plurality of target resource indicators according to the required task, wherein the target resource indicators represent resource indicators required to execute the required task; According to all the target resource indicators, screening out a plurality of target objects from all the second objects; According to all the target objects, a target sub-organization is constructed, and information is allocated according to indicators for generating the target sub-organization; According to the indicator allocation information, the target resource indicators of all the second objects in the target sub-organization are allocated to the target sub-organization.

8. An indicator resource allocation system based on an object model, characterized in that: The object model-based indicator resource allocation system includes: An organization decomposition unit, used to obtain unit information of a target organization and decompose the target organization into multiple objects according to the unit information; A data division module, used to divide the object data of each object into static data and dynamic data, and obtain the required tasks input by the user; A first object screening module is used to determine a demand indicator according to the demand task, and determine a plurality of target static data that meet the demand indicator from all the static data, and obtain a plurality of first objects corresponding to each of the target static data, wherein the first object is selected from all the objects; A second object screening module, used to select a plurality of target dynamic data that meet the requirement index from all the dynamic data, and obtain a plurality of second objects corresponding to each of the target dynamic data, wherein the second objects are selected from all the first objects; An indicator resource allocation module is used to construct a target sub-organization with multiple second objects and allocate multiple indicator resources to the target sub-organization.

9. A terminal, characterized in that: The terminal includes: a memory, a processor, and an object model-based indicator resource allocation program stored in the memory and executable on the processor. When the object model-based indicator resource allocation program is executed by the processor, the steps of the object model-based indicator resource allocation method as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores an object model-based indicator resource allocation program, and when the object model-based indicator resource allocation program is executed by a processor, the steps of the object model-based indicator resource allocation method according to any one of claims 1 to 7 are implemented.

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