CN112580911A - Resource management method, resource management device, computer equipment and storage medium - Google Patents
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Abstract
The present application relates to the field of data processing technologies, and in particular, to a resource management method and apparatus, a computer device, and a storage medium. The method in one embodiment comprises: acquiring a resource transfer event in a resource application plan period; identifying a resource transfer mode corresponding to the resource transfer event, and acquiring a resource transfer prediction model corresponding to the resource transfer mode, wherein the resource transfer mode is determined based on the type of the resource transfer frequency and the type of the resource transfer amount; processing the resource transfer event through a resource transfer prediction model to obtain resource transfer information; and filling the resource transfer information into a preset resource transfer table template to generate a resource transfer table in the resource application planning period. Therefore, the resource numerical value transfer table is automatically obtained, manual calculation processing is not needed, the processing efficiency can be improved, and in addition, the resource transfer information of the corresponding resource transfer event is predicted through different resource transfer prediction models, so that the accuracy of resource transfer information prediction can be improved.
Description
Technical Field
The present application relates to the field of data processing technologies, and in particular, to a resource management method and apparatus, a computer device, and a storage medium.
Background
In enterprise operations, resource management is an important and difficult task.
Taking enterprise resource management represented by enterprise fund management as an example, in the aspect of fund payment management, if a financing plan is not arranged properly, the large-amount long-term debt bonds can be intensively due to cause technical bankruptcy risks; if the operating capital is not properly managed, the enterprise may be unable to pay expenses such as raw material procurement and generate reputation risks, which are often fatal to the enterprise. For financing funding issues, there is usually a specialized department to manage, and the likelihood of creating a technical bankruptcy risk is usually low. The capital payment requirements in the daily production, operation and management process are dispersed among different departments, projects, contracts and the like, and the liquidity of capital is difficult to monitor, so that effective supervision is difficult to carry out.
However, conventional enterprise resource management including enterprise fund management generally depends on manual processing, and resource management information is huge and manual processing efficiency is low.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a resource management method, apparatus, computer device, and storage medium capable of improving processing efficiency.
A method of resource management, the method comprising:
acquiring a resource transfer event in a resource application plan period;
identifying a resource transfer mode corresponding to the resource transfer event, and acquiring a resource transfer prediction model corresponding to the resource transfer mode, wherein the resource transfer mode is determined based on the type of the resource transfer frequency and the type of the resource transfer amount;
processing the resource transfer event through the resource transfer prediction model to obtain resource transfer information;
and filling the resource transfer information into a preset resource numerical value transfer table template to generate a resource numerical value transfer table in the resource application planning period.
In one embodiment, the resource transfer frequency is fixed and the resource transfer amount is fixed;
the processing the resource transfer event through the resource transfer prediction model to obtain resource transfer information includes:
calling a preset resource numerical value management knowledge graph to obtain a resource transfer period and a total resource transfer amount value of the resource transfer event;
and inputting the resource transfer period and the total value of the resource transfer amount into a preset resource transfer prediction model to obtain resource transfer information.
In one embodiment, the resource transfer frequency is fixed and the resource transfer amount is not fixed;
the processing the resource transfer event through the resource transfer prediction model to obtain resource transfer information includes:
acquiring historical service data corresponding to the resource transfer event;
training a preset business data prediction model through the historical business data to obtain a trained business data prediction model;
acquiring the service data of the resource transfer event in the resource application plan period through the trained service data prediction model;
obtaining a resource transfer quantity value corresponding to the resource transfer event according to the service data and the resource value information corresponding to the service data;
and acquiring a resource transfer frequency value of the resource transfer event through a preset resource value management knowledge graph, and acquiring resource transfer information according to the resource transfer frequency value and the resource transfer quantity value.
In one embodiment, the resource transfer frequency is not fixed and the resource transfer amount is fixed;
the processing the resource transfer event through the resource transfer prediction model to obtain resource transfer information includes:
acquiring a contract corresponding to the resource transfer event;
when the contracts do not carry the resource transfer frequency values, acquiring matched contracts from a preset contract knowledge graph according to keywords in the contracts;
inputting the resource transfer information in the matched contract into a preset resource transfer frequency prediction model to obtain a resource transfer frequency value corresponding to the resource transfer event;
and acquiring a resource transfer quantity value of the resource transfer event, and acquiring resource transfer information according to the resource transfer quantity value and the resource transfer frequency value.
In one embodiment, the resource transfer frequency is not fixed and the resource transfer amount is not fixed;
the processing the resource transfer event through the resource transfer prediction model to obtain resource transfer information includes:
acquiring a historical resource transfer quantity value corresponding to the resource transfer event;
training a preset resource numerical value prediction model through the historical resource transfer quantity numerical value to obtain a trained resource numerical value prediction model;
obtaining a resource transfer quantity value of the resource transfer event in the resource application plan period through the trained resource value prediction model;
and acquiring a resource transfer frequency value of the resource transfer event, and acquiring resource transfer information according to the resource transfer frequency value and the resource transfer quantity value.
In one embodiment, the acquiring a resource transfer event within a resource application planning period includes:
taking a resource application plan main body and a resource application plan period as key words, searching in a preset resource numerical value management knowledge graph, and obtaining an initial resource transfer event of the resource application plan main body in the resource application plan period;
and querying the initial resource transfer event item by item in a preset resource accounting system, eliminating the completed initial resource transfer event, updating the unfinished initial resource transfer event, and obtaining the resource transfer event of the resource application plan main body in the resource application plan period.
An apparatus for resource management, the apparatus comprising:
the transfer event acquisition module is used for acquiring resource transfer events in a resource application plan period;
a prediction model obtaining module, configured to identify a resource transfer mode corresponding to the resource transfer event, and obtain a resource transfer prediction model corresponding to the resource transfer mode, where the resource transfer mode is determined based on a type to which a resource transfer frequency belongs and a type to which a resource transfer amount belongs;
the transfer information acquisition module is used for processing the resource transfer event through the resource transfer prediction model to obtain resource transfer information;
and the transfer table acquisition module is used for filling the resource transfer information into a preset resource numerical value transfer table template to generate a resource numerical value transfer table in the resource application planning period.
A computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
acquiring a resource transfer event in a resource application plan period;
identifying a resource transfer mode corresponding to the resource transfer event, and acquiring a resource transfer prediction model corresponding to the resource transfer mode, wherein the resource transfer mode is determined based on the type of the resource transfer frequency and the type of the resource transfer amount;
processing the resource transfer event through the resource transfer prediction model to obtain resource transfer information;
and filling the resource transfer information into a preset resource numerical value transfer table template to generate a resource numerical value transfer table in the resource application planning period.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
acquiring a resource transfer event in a resource application plan period;
identifying a resource transfer mode corresponding to the resource transfer event, and acquiring a resource transfer prediction model corresponding to the resource transfer mode, wherein the resource transfer mode is determined based on the type of the resource transfer frequency and the type of the resource transfer amount;
processing the resource transfer event through the resource transfer prediction model to obtain resource transfer information;
and filling the resource transfer information into a preset resource numerical value transfer table template to generate a resource numerical value transfer table in the resource application planning period.
According to the resource management method, the resource management device, the computer equipment and the storage medium, the resource transfer event in the resource application plan period is obtained; identifying a resource transfer mode corresponding to the resource transfer event, and acquiring a resource transfer prediction model corresponding to the resource transfer mode, wherein the resource transfer mode is determined based on the type of the resource transfer frequency and the type of the resource transfer amount; processing the resource transfer event through a resource transfer prediction model to obtain resource transfer information; the resource transfer information is filled into a preset resource numerical value transfer table template to generate a resource numerical value transfer table in a resource application planning period, so that the resource numerical value transfer table is automatically obtained, manual calculation processing is not needed, the processing efficiency can be improved, in addition, the resource transfer information of the corresponding resource transfer event is predicted through different resource transfer prediction models, and the accuracy of resource transfer information prediction can be improved.
Drawings
FIG. 1 is a diagram of an application environment of a method for resource management in one embodiment;
FIG. 2 is a flow diagram illustrating a method for resource management in one embodiment;
FIG. 3 is a flowchart illustrating a resource transfer information obtaining step according to an embodiment;
FIG. 4 is a flowchart illustrating a resource transfer information obtaining step in another embodiment;
FIG. 5 is a flowchart illustrating a resource transfer information obtaining step according to still another embodiment;
FIG. 6 is a block diagram of an embodiment of a resource management device;
FIG. 7 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The resource management method provided by the application can be applied to the application environment shown in fig. 1. A user imports a resource numerical value transfer table template to a data processing terminal, and the data processing terminal acquires a resource transfer event in a resource application plan period; identifying a resource transfer mode corresponding to the resource transfer event, and acquiring a resource transfer prediction model corresponding to the resource transfer mode, wherein the resource transfer mode is determined based on the type of the resource transfer frequency and the type of the resource transfer amount; processing the resource transfer event through a resource transfer prediction model to obtain resource transfer information; and filling the resource transfer information into a preset resource numerical value transfer table template to generate a resource numerical value transfer table in the resource application planning period. The data processing terminal may be, but is not limited to, various personal computers, notebook computers, smart phones, and tablet computers.
In an embodiment, as shown in fig. 2, a resource management method is provided, which is described by taking the example that the method is applied to the data processing terminal in fig. 1, and includes the following steps:
step 202, acquiring a resource transfer event in a resource application planning cycle.
The resource transfer event refers to transferring the resource from the first account to the second account for identifying the change process of the resource value. In particular, the resource transfer event may be a transfer of money, a payment transaction, or the like. The resource application plan period is to make a resource transfer plan in a year, season or month period. Taking fund budget management as an example, the resource transfer event in the resource application planning period may be the actual fund payment event in the fund planning period.
In one embodiment, acquiring a resource transfer event within a resource application planning period comprises: searching in a preset resource numerical value management knowledge graph by taking a resource application plan main body and a resource application plan period as key words to obtain an initial resource transfer event of the resource application plan main body in the resource application plan period; and inquiring the initial resource transfer event item by item in a preset resource accounting system, eliminating the completed initial resource transfer event, updating the unfinished initial resource transfer event, and obtaining the resource transfer event of the resource application plan main body in the resource application plan period. The resource application plan main body can be a unit name or a department name, and can be specifically in a hierarchical detail form. Taking enterprise fund budget management as an example, the resource application planning main body refers to a main body to be compiled into a fund plan, and the resource application planning cycle refers to a fund planning cycle. The fund plan period is to make fund payment plan in year, season or month period, and the week plan or day plan may be initiated by the service department based on the actual service activity and has the expense amount in month, season or year plan.
The knowledge graph refers to a structured semantic knowledge base for describing entities and relationships among the entities, and the basic composition units of the knowledge graph are entity-relationship-entity triples, and the entities are connected with one another through the relationships. The knowledge graph can be constructed in a bottom-up mode, and information extraction, knowledge fusion and knowledge processing are included. The information extraction refers to extracting entities, attributes and relationships among the entities from different data sources, and forming knowledge expression on the basis. Knowledge fusion refers to integrating acquired knowledge to eliminate contradictions or ambiguities, for example, some entities correspond to multiple expressions. The knowledge processing means that the quality of knowledge subjected to knowledge fusion processing is evaluated, and qualified parts are added into a knowledge base to ensure the quality of the knowledge base. Specifically, the resource numerical data of different data sources may be acquired, the resource numerical data may be extracted to obtain the relationship between the entity and the entity, the entity may specifically include a resource application plan main body, a resource application plan period, a resource transfer event, a resource transfer frequency, a resource transfer amount, and the like, and the resource numerical management knowledge graph may be constructed according to the acquired relationship between the entity and the entity.
And 204, identifying a resource transfer mode corresponding to the resource transfer event, and acquiring a resource transfer prediction model corresponding to the resource transfer mode, wherein the resource transfer mode is determined based on the type of the resource transfer frequency and the type of the resource transfer amount.
And determining resource transfer modes based on the type of the resource transfer frequency and the type of the resource transfer amount, wherein different resource transfer modes correspond to different resource transfer prediction models. The types of the resource transfer frequency include a fixed type and an unfixed type, and the types of the resource transfer amount include a fixed type and an unfixed type. The resource transfer mode includes a resource transfer mode in which the resource transfer frequency is fixed and the resource transfer amount is fixed, a resource transfer mode in which the resource transfer frequency is fixed and the resource transfer amount is not fixed, a resource transfer mode in which the resource transfer frequency is not fixed and the resource transfer amount is fixed, and a resource transfer mode in which the resource transfer frequency is not fixed and the resource transfer amount is not fixed.
Taking enterprise fund budget management as an example, the fund payment items specifically include regular quota payment items, regular non-quota payment items, irregular quota payment items and irregular non-quota payment items. And the different fund payment items correspond to different fund payment prediction models, and the budget of the fund payment items is predicted through the fund payment prediction models. The term fixed payment item refers to an item with fixed payment time and fixed payment amount, such as house rent, payroll and the like. The fixed-time and unfixed-payment items refer to items with fixed payment time and unfixed payment amount, such as water and electricity charges, tax charges and the like paid every month. The irregular quota payment items refer to items with fixed payment amount but unfixed payment time, such as equipment maintenance, labor expenditure and the like. The irregular and unfixed payment item refers to an item in which the payment time and the payment amount are unfixed, such as employee reimbursement.
And step 206, processing the resource transfer event through the resource transfer prediction model to obtain resource transfer information.
The resource transfer information includes a resource transfer frequency value and a resource transfer amount value, and in the enterprise fund budget management, the resource transfer information may specifically be fund payment information, where the fund payment information specifically includes an amount due and a payment time. Taking a fund payment prediction model corresponding to the fixed-amount payment items as an example, the fund payment prediction model obtains the amount due and the payment time of the fixed-amount payment items in a fund planning period by calling a preset budget management knowledge map. Specifically, budget data of different data sources can be acquired, the budget data is extracted and processed, entities and relationships among the entities are acquired, the entities can specifically include budget subjects, budget items, fund planning periods, payment amounts, payment time and the like, and a budget management knowledge graph is constructed according to the acquired entities and the relationships among the entities.
And step 208, filling the resource transfer information into a preset resource value transfer table template to generate a resource value transfer table in the resource application planning period.
The resource value transfer table includes a resource transfer mode field, resource transfer mode field information, a resource transfer field, and resource transfer field information, and the resource transfer field may specifically include a resource value transfer frequency field and a resource value transfer amount field. In the resource value transfer table template, each field information is blank. And filling the obtained resource transfer mode and the resource transfer information into corresponding field information to obtain a resource numerical value transfer table. Taking enterprise fund budget management as an example, the resource value transfer table may specifically be a fund plan table, the fund plan table includes a fund payment field, fund payment field information, a fund payment field, and fund payment field information, the fund payment field may specifically include an amount due field and a time due field, and in the fund plan table template, the fund payment field information is blank. And filling the obtained fund payment information into corresponding fund payment field information to obtain a fund plan table of a main body of the fund plan to be compiled in a fund plan period.
The resource management method comprises the steps of acquiring a resource transfer event in a resource application plan period; identifying a resource transfer mode corresponding to the resource transfer event, and acquiring a resource transfer prediction model corresponding to the resource transfer mode, wherein the resource transfer mode is determined based on the type of the resource transfer frequency and the type of the resource transfer amount; processing the resource transfer event through a resource transfer prediction model to obtain resource transfer information; the resource transfer information is filled into a preset resource numerical value transfer table template to generate a resource numerical value transfer table in a resource application planning period, so that the resource numerical value transfer table is automatically obtained, manual calculation processing is not needed, the processing efficiency can be improved, in addition, the resource transfer information of the corresponding resource transfer event is predicted through different resource transfer prediction models, and the accuracy of resource transfer information prediction can be improved.
In one embodiment, the resource transfer frequency is fixed and the resource transfer amount is fixed; processing the resource transfer event through the resource transfer prediction model to obtain resource transfer information, wherein the resource transfer information comprises: calling a preset resource numerical value management knowledge graph to obtain a resource transfer period and a total resource transfer amount value of a resource transfer event; and inputting the resource transfer period and the total value of the resource transfer amount into a preset resource transfer prediction model to obtain resource transfer information. Taking enterprise fund budget management as an example, further, taking regular quota payment items with fixed payment time and fixed amount as examples, such as house rent, wage compensation, etc., the total amount of expenditure is usually determined when signing a contract or making a budget, and only payment needs to be initiated on time. And inquiring the periodic quota payment items from a preset budget management knowledge map to obtain the amount and the payment time which are due to the periodic quota payment items in the fund planning period. Taking the house rent as an example of paying the rent monthly, the rent to be paid at the current period can be obtained by dividing the total expenditure amount by the lease duration, and then specific payment time is summarized to form the fund payment information of the fixed-amount payment item.
In one embodiment, as shown in FIG. 3, the resource transfer frequency is fixed and the resource transfer amount is not fixed; processing the resource transfer event through the resource transfer prediction model to obtain resource transfer information, wherein the resource transfer information comprises: step 302, obtaining historical service data corresponding to the resource transfer event; step 304, training a preset service data prediction model through historical service data to obtain a trained service data prediction model; step 306, acquiring service data of the resource transfer event in a resource application planning period through the trained service data prediction model; 308, obtaining a resource transfer quantity value corresponding to the resource transfer event according to the service data and the resource value information corresponding to the service data; and 310, acquiring a resource transfer frequency value of the resource transfer event through a preset resource value management knowledge graph, and acquiring resource transfer information according to the resource transfer frequency value and the resource transfer quantity value. Take enterprise capital budget management as an example, and further take periodic indefinite payment matters as an example. And when the fund payment item is a regular non-quota payment item, acquiring historical service data corresponding to the regular non-quota payment item. And training a preset service data prediction model through historical service data to obtain a trained service data prediction model. And acquiring the business data of the periodic indefinite payment matters in the fund planning period through the trained business data prediction model. And obtaining the amount due corresponding to the periodic indefinite payment items according to the business data and the unit price information corresponding to the periodic indefinite payment items. And acquiring the time due to the periodic indefinite payment items through the budget management knowledge graph, and acquiring the fund payment information corresponding to the periodic indefinite payment items according to the time due and the amount due.
The payment time is fixed, but the payment amount is not fixed, such as the water and electricity fee, tax and the like paid every month. The business data prediction model is used for predicting the business data in the current period according to the historical business data. The service data prediction model can be implemented by calling the existing data mining algorithm of the platform through an Application Programming Interface (API), such as a regression algorithm, a classification algorithm, a clustering algorithm, a time series algorithm, and the like, and can also be constructed and trained according to historical service data. Historical business data corresponding to regular and indefinite payment items, such as historical business data of power consumption, water consumption, product sales and the like, are extracted from a preset business system or a data warehouse, a business data prediction model is trained according to the historical business data, then certain historical business data is used as the input of the trained business data prediction model, and current business data is obtained after calculation of the business data prediction model. And calculating the current due payment amount according to the current due payment amount which is the unit price multiplied by the current service volume. After the current due payment amount of the periodic indefinite payment items is calculated, the current due payment amount and the corresponding due payment time are summarized to form the fund payment information.
In one embodiment, as shown in FIG. 4, the resource transfer frequency is not fixed and the resource transfer amount is fixed; processing the resource transfer event through the resource transfer prediction model to obtain resource transfer information, wherein the resource transfer information comprises: step 402, acquiring a contract corresponding to the resource transfer event; step 404, when the contracts do not carry the resource transfer frequency values, acquiring matched contracts from a preset contract knowledge graph according to keywords in the contracts; step 406, inputting the resource transfer information in the matched contract into a preset resource transfer frequency prediction model to obtain a resource transfer frequency value corresponding to the resource transfer event; and step 408, acquiring the resource transfer quantity value of the resource transfer event, and acquiring resource transfer information according to the resource transfer quantity value and the resource transfer frequency value. Take the enterprise capital budget management as an example, and further take the irregular quota payment as an example. And when the fund payment item is the irregular quota payment item, acquiring a contract corresponding to the irregular quota payment item. And when the contract does not carry payment time, acquiring the matched contract from a preset contract knowledge graph according to the keywords in the contract. And predicting the fund payment time corresponding to the irregular quota payment items according to the fund payment information in the matched contract. And obtaining the payment amount of the indefinite quota payment item, and obtaining fund payment information corresponding to the indefinite quota payment item according to the payment amount and the fund payment time. Specifically, contract data of different data sources can be acquired, the contract data is extracted to obtain entities and relationships between the entities, the entities can specifically include contract subjects, payment items, payment amount, payment time and the like, and a contract knowledge graph is constructed according to the acquired entities and the relationships between the entities.
For irregular quota payment matters, such as equipment maintenance, labor expenditure, and the like, for which the payment time is not fixed and a contract is made, the irregular quota payment matters are mainly characterized in that the payment amount is fixed but the payment time is uncertain. The contract information of the indefinite quota payment item is obtained, specifically, the name of the indefinite quota payment item is used as a keyword, and contract information corresponding to the item, such as information of start date, contract amount, warranty, contract execution progress and the like, is obtained from a preset contract knowledge map, a contract management information system and an accounting system. For contracts at fixed or promissory payment times, the funds payment information is formed according to the payment conditions in the contract. For the non-periodic payment contract, that is, the contract does not carry the payment time, at this time, the contract knowledge graph may be retrieved again according to the key words of the contract, such as the type of the contract, the party a and the like, to obtain the fund payment information of the same or similar contract, such as the contract average payment period, the payment method, the payment amount, and the like, and the fund payment time is predicted according to the contract estimated payment date, that is, the contract starting date + the contract average execution period. And after the payment time of the non-periodic payment contract is predicted, summarizing the predicted payment time and the corresponding payment amount to form the fund payment information of the irregular quota payment items.
In one embodiment, as shown in FIG. 5, the resource transfer frequency is not fixed and the resource transfer amount is not fixed; processing the resource transfer event through the resource transfer prediction model to obtain resource transfer information, wherein the resource transfer information comprises: step 502, obtaining a historical resource transfer quantity value corresponding to a resource transfer event; step 504, training a preset resource numerical value prediction model through a historical resource transfer quantity numerical value to obtain a trained resource numerical value prediction model; step 506, obtaining a resource transfer quantity value of the resource transfer event in the resource application plan period through the trained resource value prediction model; and step 508, acquiring a resource transfer frequency value of the resource transfer event, and obtaining resource transfer information according to the resource transfer frequency value and the resource transfer quantity value. Take enterprise capital budget management as an example, and further take irregular and indefinite payment matters as an example. When the fund payment item is an indefinite and indefinite payment item, a historical total expenditure amount corresponding to the indefinite and indefinite payment item is obtained, for example, the historical total expenditure amount is obtained from a preset budget management knowledge map or an accounting system. And training the preset fund prediction model through the total historical expenditure to obtain the trained fund prediction model. And acquiring the fund payment amount of the indefinite and indefinite payment items in the fund planning period through the trained fund prediction model. And acquiring the payment time of the irregular indefinite amount payment item, and acquiring the fund payment information corresponding to the irregular indefinite amount payment item according to the payment time and the fund payment amount.
The amount of funds for the contingent payment event is not large, and the time and amount of payment are not fixed, such as employee reimbursement. And deducting the total expenditure corresponding to the periodic quota payment items, the total expenditure corresponding to the periodic indefinite quota payment items and the total expenditure corresponding to the irregular quota payment items from the total historical expenditure of each period (which can be months, seasons or years) to obtain the total historical expenditure of the irregular indefinite quota payment items. The fund prediction model is used for predicting fund payment data in the current period according to the historical expenditure sum of the irregular indefinite payment matters. The fund prediction model can be realized by calling the existing data mining algorithm of the platform through the API, such as a time series algorithm, a classification and clustering algorithm, an average growth rate algorithm and the like. The historical total expenditure of the indefinite and indefinite payment items is used as a reference, the reference is input into a selected fund prediction model, the fund payment amount of each period can be automatically calculated, and the fund payment amount and the corresponding payment time are summarized to form fund payment information of the items. Optionally, further custom segmentation of the aperiodic and non-rated items may be performed to improve the accuracy of the fund prediction.
It should be understood that although the various steps in the flow charts of fig. 2-5 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-5 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternating with other steps or at least some of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 6, there is provided a resource management apparatus including: a branch event acquisition module 602, a prediction model acquisition module 604, a branch information acquisition module 606, and a branch table acquisition module 608. And the transfer event acquisition module is used for acquiring the resource transfer event in the resource application planning period. And the prediction model acquisition module is used for identifying a resource transfer mode corresponding to the resource transfer event and acquiring a resource transfer prediction model corresponding to the resource transfer mode, wherein the resource transfer mode is determined based on the type of the resource transfer frequency and the type of the resource transfer amount. And the transfer information acquisition module is used for processing the resource transfer event through the resource transfer prediction model to obtain the resource transfer information. And the transfer table acquisition module is used for filling the resource transfer information into a preset resource numerical value transfer table template to generate a resource numerical value transfer table in the resource application planning period.
In one embodiment, the resource transfer frequency is fixed and the resource transfer amount is fixed; the transfer information acquisition module is also used for calling a preset resource numerical value management knowledge graph to acquire a resource transfer period and a total resource transfer amount value of the resource transfer event; and inputting the resource transfer period and the total value of the resource transfer amount into a preset resource transfer prediction model to obtain resource transfer information.
In one embodiment, the resource transfer frequency is fixed and the resource transfer amount is not fixed; the transfer information acquisition module is also used for acquiring historical service data corresponding to the resource transfer event; training a preset business data prediction model through historical business data to obtain a trained business data prediction model; acquiring service data of the resource transfer event in a resource application plan period through a trained service data prediction model; obtaining a resource transfer quantity value corresponding to a resource transfer event according to the service data and the resource value information corresponding to the service data; and acquiring a resource transfer frequency value of the resource transfer event through a preset resource value management knowledge graph, and acquiring resource transfer information according to the resource transfer frequency value and the resource transfer quantity value.
In one embodiment, the resource transfer frequency is not fixed and the resource transfer amount is fixed; the transfer information acquisition module is also used for acquiring a contract corresponding to the resource transfer event; when the contracts do not carry the resource transfer frequency values, acquiring matched contracts from a preset contract knowledge graph according to keywords in the contracts; inputting the resource transfer information in the matched contract into a preset resource transfer frequency prediction model to obtain a resource transfer frequency value corresponding to a resource transfer event; and acquiring a resource transfer quantity value of the resource transfer event, and acquiring resource transfer information according to the resource transfer quantity value and the resource transfer frequency value.
In one embodiment, the resource transfer frequency is not fixed and the resource transfer amount is not fixed; the transfer information acquisition module is also used for acquiring a historical resource transfer quantity value corresponding to the resource transfer event; training a preset resource numerical value prediction model through a historical resource transfer quantity numerical value to obtain a trained resource numerical value prediction model; obtaining a resource transfer quantity value of a resource transfer event in a resource application plan period through a trained resource value prediction model; and acquiring a resource transfer frequency value of the resource transfer event, and acquiring resource transfer information according to the resource transfer frequency value and the resource transfer quantity value.
In one embodiment, the transfer event obtaining module is further configured to search in a preset resource numerical management knowledge graph with the resource application plan main body and the resource application plan period as keywords, and obtain an initial resource transfer event of the resource application plan main body in the resource application plan period; and inquiring the initial resource transfer event item by item in a preset resource accounting system, eliminating the completed initial resource transfer event, updating the unfinished initial resource transfer event, and obtaining the resource transfer event of the resource application plan main body in the resource application plan period.
For the specific limitation of the resource management device, reference may be made to the above limitation of the resource management method, which is not described herein again. The modules in the resource management device can be wholly or partially implemented by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 7. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer equipment is used for storing data such as the corresponding relation between the resource transfer mode and the resource transfer prediction model, a resource transfer table template, a resource transfer table and the like. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a resource management method.
Those skilled in the art will appreciate that the architecture shown in fig. 7 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, there is provided a computer device comprising a memory storing a computer program and a processor implementing the following steps when the processor executes the computer program: acquiring a resource transfer event in a resource application plan period; identifying a resource transfer mode corresponding to the resource transfer event, and acquiring a resource transfer prediction model corresponding to the resource transfer mode, wherein the resource transfer mode is determined based on the type of the resource transfer frequency and the type of the resource transfer amount; processing the resource transfer event through a resource transfer prediction model to obtain resource transfer information; and filling the resource transfer information into a preset resource transfer table template to generate a resource transfer table in the resource application planning period.
In one embodiment, the processor, when executing the computer program, further performs the steps of: under the condition that the resource transfer frequency is fixed and the resource transfer amount is fixed, calling a preset resource numerical value management knowledge graph to obtain a resource transfer period and a total resource transfer amount value of a resource transfer event; and inputting the resource transfer period and the total value of the resource transfer amount into a preset resource transfer prediction model to obtain resource transfer information.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring historical service data corresponding to a resource transfer event under the condition that the resource transfer frequency is fixed and the resource transfer amount is not fixed; training a preset business data prediction model through historical business data to obtain a trained business data prediction model; acquiring service data of the resource transfer event in a resource application plan period through a trained service data prediction model; obtaining a resource transfer quantity value corresponding to a resource transfer event according to the service data and the resource value information corresponding to the service data; and acquiring a resource transfer frequency value of the resource transfer event through a preset resource value management knowledge graph, and acquiring resource transfer information according to the resource transfer frequency value and the resource transfer quantity value.
In one embodiment, the processor, when executing the computer program, further performs the steps of: under the condition that the resource transfer frequency is not fixed and the resource transfer amount is fixed, acquiring a contract corresponding to the resource transfer event; when the contracts do not carry the resource transfer frequency values, acquiring matched contracts from a preset contract knowledge graph according to keywords in the contracts; inputting the resource transfer information in the matched contract into a preset resource transfer frequency prediction model to obtain a resource transfer frequency value corresponding to a resource transfer event; and acquiring a resource transfer quantity value of the resource transfer event, and acquiring resource transfer information according to the resource transfer quantity value and the resource transfer frequency value.
In one embodiment, the processor, when executing the computer program, further performs the steps of: under the condition that the resource transfer frequency is not fixed and the resource transfer amount is not fixed, acquiring a historical resource transfer amount value corresponding to a resource transfer event; training a preset resource numerical value prediction model through a historical resource transfer quantity numerical value to obtain a trained resource numerical value prediction model; obtaining a resource transfer quantity value of a resource transfer event in a resource application plan period through a trained resource value prediction model; and acquiring a resource transfer frequency value of the resource transfer event, and acquiring resource transfer information according to the resource transfer frequency value and the resource transfer quantity value.
In one embodiment, the processor, when executing the computer program, further performs the steps of: searching in a preset resource numerical value management knowledge graph by taking a resource application plan main body and a resource application plan period as key words to obtain an initial resource transfer event of the resource application plan main body in the resource application plan period; and inquiring the initial resource transfer event item by item in a preset resource accounting system, eliminating the completed initial resource transfer event, updating the unfinished initial resource transfer event, and obtaining the resource transfer event of the resource application plan main body in the resource application plan period.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of: acquiring a resource transfer event in a resource application plan period; identifying a resource transfer mode corresponding to the resource transfer event, and acquiring a resource transfer prediction model corresponding to the resource transfer mode, wherein the resource transfer mode is determined based on the type of the resource transfer frequency and the type of the resource transfer amount; processing the resource transfer event through a resource transfer prediction model to obtain resource transfer information; and filling the resource transfer information into a preset resource transfer table template to generate a resource transfer table in the resource application planning period.
In one embodiment, the computer program when executed by the processor further performs the steps of: under the condition that the resource transfer frequency is fixed and the resource transfer amount is fixed, calling a preset resource numerical value management knowledge graph to obtain a resource transfer period and a total resource transfer amount value of a resource transfer event; and obtaining resource transfer information according to the resource transfer period and the total value of the resource transfer amount.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring historical service data corresponding to a resource transfer event under the condition that the resource transfer frequency is fixed and the resource transfer amount is not fixed; training a preset business data prediction model through historical business data to obtain a trained business data prediction model; acquiring service data of the resource transfer event in a resource application plan period through a trained service data prediction model; obtaining a resource transfer quantity value corresponding to a resource transfer event according to the service data and the resource value information corresponding to the service data; and acquiring a resource transfer frequency value of the resource transfer event through a preset resource value management knowledge graph, and acquiring resource transfer information according to the resource transfer frequency value and the resource transfer quantity value.
In one embodiment, the computer program when executed by the processor further performs the steps of: under the condition that the resource transfer frequency is not fixed and the resource transfer amount is fixed, acquiring a contract corresponding to the resource transfer event; when the contracts do not carry the resource transfer frequency values, acquiring matched contracts from a preset contract knowledge graph according to keywords in the contracts; inputting the resource transfer information in the matched contract into a preset resource transfer frequency prediction model to obtain a resource transfer frequency value corresponding to a resource transfer event; and acquiring a resource transfer quantity value of the resource transfer event, and acquiring resource transfer information according to the resource transfer quantity value and the resource transfer frequency value.
In one embodiment, the computer program when executed by the processor further performs the steps of: under the condition that the resource transfer frequency is not fixed and the resource transfer amount is not fixed, acquiring a historical resource transfer amount value corresponding to a resource transfer event; training a preset resource numerical value prediction model through a historical resource transfer quantity numerical value to obtain a trained resource numerical value prediction model; obtaining a resource transfer quantity value of a resource transfer event in a resource application plan period through a trained resource value prediction model; and acquiring a resource transfer frequency value of the resource transfer event, and acquiring resource transfer information according to the resource transfer frequency value and the resource transfer quantity value.
In one embodiment, the computer program when executed by the processor further performs the steps of: searching in a preset resource numerical value management knowledge graph by taking a resource application plan main body and a resource application plan period as key words to obtain an initial resource transfer event of the resource application plan main body in the resource application plan period; and inquiring the initial resource transfer event item by item in a preset resource accounting system, eliminating the completed initial resource transfer event, updating the unfinished initial resource transfer event, and obtaining the resource transfer event of the resource application plan main body in the resource application plan period.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method of resource management, the method comprising:
acquiring a resource transfer event in a resource application plan period;
identifying a resource transfer mode corresponding to the resource transfer event, and acquiring a resource transfer prediction model corresponding to the resource transfer mode, wherein the resource transfer mode is determined based on the type of the resource transfer frequency and the type of the resource transfer amount;
processing the resource transfer event through the resource transfer prediction model to obtain resource transfer information;
and filling the resource transfer information into a preset resource transfer table template to generate a resource transfer table in the resource application planning period.
2. The method of claim 1, wherein the resource transfer frequency is fixed and the resource transfer amount is fixed;
the processing the resource transfer event through the resource transfer prediction model to obtain resource transfer information includes:
calling a preset resource numerical value management knowledge graph to obtain a resource transfer period and a total resource transfer amount value of the resource transfer event;
and inputting the resource transfer period and the total value of the resource transfer amount into a preset resource transfer prediction model to obtain resource transfer information.
3. The method of claim 1, wherein the resource transfer frequency is fixed and the resource transfer amount is not fixed;
the processing the resource transfer event through the resource transfer prediction model to obtain resource transfer information includes:
acquiring historical service data corresponding to the resource transfer event;
training a preset business data prediction model through the historical business data to obtain a trained business data prediction model;
acquiring the service data of the resource transfer event in the resource application plan period through the trained service data prediction model;
obtaining a resource transfer quantity value corresponding to the resource transfer event according to the service data and the resource value information corresponding to the service data;
and acquiring a resource transfer frequency value of the resource transfer event through a preset resource value management knowledge graph, and acquiring resource transfer information according to the resource transfer frequency value and the resource transfer quantity value.
4. The method of claim 1, wherein the resource transfer frequency is not fixed and the resource transfer amount is fixed;
the processing the resource transfer event through the resource transfer prediction model to obtain resource transfer information includes:
acquiring a contract corresponding to the resource transfer event;
when the contracts do not carry the resource transfer frequency values, acquiring matched contracts from a preset contract knowledge graph according to keywords in the contracts;
inputting the resource transfer information in the matched contract into a preset resource transfer frequency prediction model to obtain a resource transfer frequency value corresponding to the resource transfer event;
and acquiring a resource transfer quantity value of the resource transfer event, and acquiring resource transfer information according to the resource transfer quantity value and the resource transfer frequency value.
5. The method of claim 1, wherein the resource transfer frequency is not fixed and the resource transfer amount is not fixed;
the processing the resource transfer event through the resource transfer prediction model to obtain resource transfer information includes:
acquiring a historical resource transfer quantity value corresponding to the resource transfer event;
training a preset resource numerical value prediction model through the historical resource transfer quantity numerical value to obtain a trained resource numerical value prediction model;
obtaining a resource transfer quantity value of the resource transfer event in the resource application plan period through the trained resource value prediction model;
and acquiring a resource transfer frequency value of the resource transfer event, and acquiring resource transfer information according to the resource transfer frequency value and the resource transfer quantity value.
6. The method of claim 1, wherein obtaining resource transfer events within a resource application planning period comprises:
taking a resource application plan main body and a resource application plan period as key words, searching in a preset resource numerical value management knowledge graph, and obtaining an initial resource transfer event of the resource application plan main body in the resource application plan period;
and querying the initial resource transfer event item by item in a preset resource accounting system, eliminating the completed initial resource transfer event, updating the unfinished initial resource transfer event, and obtaining the resource transfer event of the resource application plan main body in the resource application plan period.
7. An apparatus for resource management, the apparatus comprising:
the transfer event acquisition module is used for acquiring resource transfer events in a resource application plan period;
a prediction model obtaining module, configured to identify a resource transfer mode corresponding to the resource transfer event, and obtain a resource transfer prediction model corresponding to the resource transfer mode, where the resource transfer mode is determined based on a type to which a resource transfer frequency belongs and a type to which a resource transfer amount belongs;
the transfer information acquisition module is used for processing the resource transfer event through the resource transfer prediction model to obtain resource transfer information;
and the transfer table acquisition module is used for filling the resource transfer information into a preset resource numerical value transfer table template to generate a resource numerical value transfer table in the resource application planning period.
8. The apparatus according to claim 7, wherein the transfer event obtaining module is further configured to search in a preset resource numerical management knowledge graph with a resource application plan main body and a resource application plan period as keywords, to obtain an initial resource transfer event of the resource application plan main body in the resource application plan period; and querying the initial resource transfer event item by item in a preset resource accounting system, eliminating the completed initial resource transfer event, updating the unfinished initial resource transfer event, and obtaining the resource transfer event of the resource application plan main body in the resource application plan period.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 6 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
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