CN113610616A - Financial checking relation analysis method and analysis system based on event network - Google Patents

Financial checking relation analysis method and analysis system based on event network Download PDF

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CN113610616A
CN113610616A CN202110940532.3A CN202110940532A CN113610616A CN 113610616 A CN113610616 A CN 113610616A CN 202110940532 A CN202110940532 A CN 202110940532A CN 113610616 A CN113610616 A CN 113610616A
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service
business
financial
service flow
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CN113610616B (en
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刘震
叶丽文
任飞
郭永刚
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Aolin Technology Co ltd
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract

The invention discloses a financial checking relationship analysis method and system based on an event network, wherein the method comprises the following steps: acquiring digital enterprise business historical data, a business occurrence function set and a digital trigger event set, wherein the digital enterprise business historical data comprises a business place set, a business object set and a business flow relation set, and business places in the business place set comprise business objects in the business object set; constructing a business flow model based on the event network; acquiring a checking relation related to financial indexes in a business flow model; and analyzing the reasons of the abnormal values in the financial indexes according to the checking relationship. The technical scheme provided by the invention overcomes the problem that the traditional financial checking relation cannot reflect the relation between non-independent account sets.

Description

Financial checking relation analysis method and analysis system based on event network
Technical Field
The invention relates to the field of financial accounting report analysis of computer technology, in particular to a financial checking relationship analysis method and system based on an event network.
Background
The public financial statement is an important channel for enterprises to disclose accounting information outwards, and can help related interest units of the enterprises to comprehensively understand and grasp the information of the operation condition, the financial condition, the cash flow and the like of the enterprises. When the enterprise financial statements are analyzed, the contents of all statements are needed to be solved, and the listing of each item and the relationship among the items in each statement are also needed to be determined. Understanding the audit relationship among the financial statements can really understand the connotation of the financial statements, and really understand the enterprise through deep analysis. The traditional financial affair audit relationship is constructed based on fixed accounting subjects, such as main accounting subjects in an asset liability statement, a profit statement and a cash flow statement, and based on a fixed formula. Although the logical relationship of the known financial statement can be reflected, the method only can reflect the relatively simple and direct financial index corresponding relationship, and has no capability of reflecting the relationship between the non-independent account sets. The traditional colluding relationship construction method cannot analyze and verify potential problems in the colluding relationship. With the development of enterprises, the number of personnel and departments of the enterprises is increased, the business process is more complex, the financial indexes needing to be checked are increased, and how to carry out enterprise evaluation in detail through financial checking relations in the enterprises is a problem which is difficult to overcome at present.
Disclosure of Invention
In view of this, the embodiment of the present invention provides a financial checking relationship analysis method and an analysis system based on an event network, so as to increase the depth of establishing the financial checking relationship and improve the capability of analyzing financial indexes in enterprise business activities.
According to a first aspect, the present invention provides a financial audit relationship analysis method based on an event network, the method comprising:
acquiring digital enterprise business historical data, a business occurrence function set and a digital trigger event set, wherein the digital enterprise business historical data comprises a business place set, a business object set and a business flow switching relation set, and business places in the business place set comprise business objects in the business object set;
constructing a service flow model based on an event network, wherein a service flow relation in a service flow relation set and a service occurrence function in a service occurrence function set are used for simulating service object interaction conditions in the service flow model, and a digital trigger event in a digital trigger event set is a prerequisite condition for starting a service flow in the service flow model;
obtaining a checking relation related to the financial index in the business flow model;
and analyzing the reasons of the abnormal values in the financial indexes according to the audit relationship.
Optionally, the acquiring digital enterprise business history data, a business occurrence function set, and a digital trigger event set includes:
acquiring enterprise business historical data and a trigger event set, wherein the enterprise business historical data and the trigger event set respectively comprise real description data corresponding to the digital enterprise business historical data and the digital trigger event set;
mapping the enterprise business historical data and the trigger event set into the digital enterprise business historical data and the digital trigger event set;
and establishing an original generating function in the service generating function set.
Optionally, the service flow model is constructed based on an event network, and the model of the event network technology is as follows:
and (P, E, T, a, F), where P corresponds to the service location set, E corresponds to the trigger event set, T corresponds to a service flow relationship in the service flow relationship set, a corresponds to a service flow direction in the service flow relationship set, and F corresponds to a service occurrence function set.
Optionally, the event network further includes a token, which is an overall real number or vector and corresponds to the business object in the business object set. .
Optionally, the obtaining of the audit relationship related to the financial index in the service flow model according to the financial index includes:
acquiring all service elements related to the service flow model according to the financial index, wherein the service elements can be any one of service places, service objects, triggering events, flow relations and occurrence functions;
and constructing the checking relationship according to the service flow relationship among the service elements related to the checking relationship.
Optionally, the method further comprises:
setting an objective function according to the service elements needing to be changed in the service flow model;
and recording the change condition of the financial index when the business flow model is matched with the objective function.
Optionally, the method further comprises:
and predicting the change condition of the financial index in the service flow model at the next moment based on the current-moment service elements needing to be adjusted in the service flow model.
According to a second aspect, a financial audit relationship analysis system based on an event network, the system comprising:
the system comprises a data acquisition module, a service management module and a service management module, wherein the data acquisition module is used for acquiring digital enterprise service historical data, a service occurrence function set and a digital trigger event set, the digital enterprise service historical data comprises a service place set, a service object set and a service flow relation set, and service places in the service place set comprise service objects in the service object set;
the model establishing module is used for establishing a service flow model based on an event network, wherein the service flow relation in the service flow relation set and the service occurrence function in the service occurrence function set are used for simulating the service object interaction condition in the service flow model, and the digital trigger event in the digital trigger event set is a prerequisite condition for starting the service flow in the service flow model;
the audit relationship acquisition module is used for acquiring audit relationships related to the financial indexes in the business flow model;
and the financial analysis module is used for analyzing the reasons of abnormal values in the financial indexes according to the audit relationship.
According to a third aspect, an electronic device comprises:
a memory and a processor, the memory and the processor being communicatively coupled to each other, the memory having stored therein computer instructions, and the processor being configured to execute the computer instructions to perform the method of the first aspect, or any one of the optional embodiments of the first aspect.
According to a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, where the computer-readable storage medium stores computer instructions for causing a computer to execute the method of the first aspect, or any one of the optional implementation manners of the first aspect.
The technical scheme of the invention has the following advantages:
the financial checking relationship analysis method and the financial checking relationship analysis system based on the event network provided by the embodiment of the invention map all business occurrence places in the whole business flow of an enterprise, objects needing to be forwarded in the business places and events triggering business to be forwarded into real numbers or vectors, so that the business can be represented in a Saybook space. And then simulating a full service flow based on the event network model and the mapped historical data, finding out related service elements in the event network model according to the financial indexes to be analyzed, and obtaining a financial checking relation map through the relation between the service elements so as to analyze abnormal conditions in the financial indexes according to the checking relation. In addition, according to the event network-based business flow model provided by the invention, the value of the relevant business element in the model is set artificially, so that the change condition of the financial index after the business element is changed is obtained, and the aim of predicting the financial data is fulfilled. The objective function is set according to the service elements needing to be optimized, and the service elements in the event network service flow model are adjusted to achieve the purpose that the optimized parameter function needed by the service flow model approaches the objective function, so that the checking relation after the model is optimized is obtained according to the financial indexes, and the optimization function of financial statement analysis is realized. The capability of predicting, optimizing and analyzing abnormal financial indexes of the business flow model of the comprehensive event network overcomes the problem that the traditional financial check relation cannot reflect the relation between non-independent account sets.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a schematic diagram illustrating steps of a financial audit relationship analysis method based on an event network according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an event network model structure of a financial audit relationship analysis method based on an event network according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a financial audit relationship analysis system based on an event network according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
The technical features mentioned in the different embodiments of the invention described below can be combined with each other as long as they do not conflict with each other.
Referring to fig. 1 and fig. 2, a financial audit relationship analysis method based on an event network according to an embodiment of the present invention includes the following steps:
step S101: and (3) an event network technology modeling mode. Specifically, an Event Network (EN) is a system platform that realizes distributed concurrency based on Event driving, is compatible with a discrete and streaming mixed model, and presents global simulation, diagnosis and optimization in a dragging and pulling manner. Compared with the mainstream petrinet, eventbasedsystem and the like on the market at present. The event network provided by the embodiment of the invention has the advantages that: the method has the advantages of stronger expression capability, freeness, clear network and topology layers, capability of simultaneously describing events of a physical world and a virtual world, and support of discrete and continuous mixed modeling.
The theoretical model of the event net is EN ═ (P, E, T, a, F). Where P is a collection of places (places), i.e. places where each business occurs in a full business process, such as a process of producing iron, and factories of iron making are places. In the embodiment of the invention, places for carrying out various business activities are warehouses, such as warehouses for carrying out goods transaction, financial offices for carrying out account transfer, order submitting customer service centers and the like.
Wherein E is an Event (Event) set, the Event is a prerequisite for triggering the whole service flow to start running, for example, in the process of trading an enterprise goods, the goods are delivered when receiving payment, the quantity of the goods changes at this time, and the action of receiving payment is a trigger Event in this process. The events include unexpected and unexpected events, for example, the action of receiving the money is an unexpected event, because the bad weather has to make the cargo transfer into an unexpected event.
Wherein, T is the set of Transition (Transition), A is the set of directed Arc (Arc), and in a full service flow, a certain flow is the Transition. For example, in the order delivery process, the process of transferring an order from a customer service center to an office is a transition. Each transition has a direction, in the above example, the direction from the center of the customer service to the office is a directed arc.
Wherein, F is a set of occurrence functions (Fire functions), and in a full service flow, the writing of the occurrence functions in the model needs to consider the occurrence preconditions, the occurrence duration and the changes after the occurrence, including the number of tokens and events that change. And generating a function F (P, E, t), wherein the precondition required for the generation of each transition comprises the event required for the transition, which libraries the transition prefix has, the number of tokens required to be consumed in the libraries, and the generation time t is defined, t is allowed to be 0, and t is the duration of the generation function. And after the occurrence is finished, generating a corresponding token number according to the calculation of the post function, putting the obtained token number into a postfix library, and simultaneously, generating one or more events by the post function and putting the events into a postfix event set. For example, for a process of trading an item, the occurrence function needs to consider preconditions such as whether an order is paid or not, whether a weather condition is allowed or not, whether national policies allow transportation or not, and the like, where the goods stored in the warehouse are tokens, and in a full business flow of an enterprise, the tokens in each warehouse are not consistent, for example, milk is stored in the warehouse, an order is stored in an office, and then the tokens corresponding to the office and the warehouse are different. And after the occurrence time t, ending the occurrence function, namely ending the transition of a certain flow.
The token is a consumable in the library, corresponds to a business object in the event network model provided by the embodiment of the invention, and the category of the token is designed to be full real number and/or vector representation, so that the modeling capability of the event network model is enhanced, and the token can be simulated for a discrete model and is also suitable for a continuous production process. For example, token can be expressed as an integer unit such as a person (unit: piece) or a computer (unit: table), or can be expressed as a non-integer unit such as water (unit: liter) or iron powder (unit: kilogram).
Referring to fig. 2, taking a bread making process as an example, a process of 1kg of flour plus 2 liters of water into an oven, and triggering the oven to bake by powering on the oven, thereby obtaining 1 bread, can be mapped and simulated by an event net. Wherein 1kg of flour and 2 liters of water are respectively different tokens, a bowl for placing water in a bag for placing the flour is a storehouse, the process of adding water into the flour to become bread is a transition, the generated bread is a token placed in a basket, the transition process needs to be started to electrify an oven, and the action of plugging electricity is an event of the process.
Step S102: the method comprises the steps of obtaining digital enterprise business historical data, a business generating function set and a digital triggering event set, wherein the digital enterprise business historical data comprise a business place set, a business object set and a business flow relation set, and business places in the business place set comprise business objects in the business object set.
Specifically, enterprise business flow is modeled based on an event network technology, and historical data in an enterprise business generation process is acquired corresponding to parameters required by an event network model and used for training the event network model. The method comprises the steps that a required service place set corresponds to a library place of an event network, a service object set corresponds to a token of the event network, a service flow conversion relation set corresponds to a transition set and a directed arc set of the event network, a service occurrence function set corresponds to an occurrence function set of the event network, and an original occurrence function is constructed according to expert experience. The digital trigger event set corresponds to an event set of an event net.
The original data in the inventory business flow of a certain enterprise obtained initially is enterprise business historical data and a trigger event set, and is abstract data such as physical description of a physical world and language text, and the like, and the data cannot be directly applied to an event network model, so that the data in the enterprise business historical data and the trigger event set need to be virtually mapped and mapped to a Saybook space to obtain digital enterprise business historical data and a digital trigger event set which can be directly applied to training and testing of the event network model. The Cyberspace (Cyberspace) is an abstract concept in the philosophy and computer fields, referring to the virtual reality in computers and computer networks. The prior art is combined to map the entity of the physical world into the Saybook space through a conceptual model and a data model so as to realize the application of the data in the event network model.
And establishing an original occurrence function in the service occurrence function set according to the precondition of service interaction, the interaction duration, the object quantity after the service flow is finished and the event change condition. For example, a business transaction process of historical data needs to take account of pre-conditions such as order delivery conditions, weather conditions, policy conditions, etc., the flow time of goods in a warehouse, the quantity of goods to other warehouses generated after the flow is completed, and events affecting other links generated after the flow is completed to establish an occurrence function of the process.
Step S103: and constructing a service flow model based on the event network, wherein the service flow relation in the service flow relation set and the service occurrence function in the service occurrence function set are used for simulating the service object interaction condition in the service flow model, and the digital trigger event in the digital trigger event set is a prerequisite condition for starting the service flow in the service flow model.
Specifically, the conventional technology is constructed based on a fixed formula when an internal audit relationship of an enterprise is constructed based on fixed accounting subjects, such as main accounting subjects in an asset liability statement, a profit statement and a cash flow statement, and only can reflect a financial audit relationship of a business unit forming an independent account set (the account set is a general name of all accounting business data files storing accounting subjects, the files contained in the account set include accounting subjects, accounting documents, accounting books, accounting report tables and the like), so that drilling of finer granularity cannot be performed, and changes caused by business unit adjustment are difficult to be presented. And establishing a business flow model based on the event network according to the corresponding relation between the parameters in the event network and the data described in the step S102, and performing analog simulation on each link in the whole business process in the enterprise. And recording the account change condition of each order according to the change condition of each link data in the historical data. For example, a transaction can occur by transferring accounts and goods circulation, an event network not only records goods circulation and transfer situations in detail, but also records circulation situations of other links related to the transaction, for example, comprehensive order information in an office is required for generating orders, employees a and B are respectively responsible for different parts of the orders, and first part of information collected by the employee a and second part of information collected by the employee B are respectively circulated to business flows in the office, wherein the business flows belong to one department in the orders. By recording the change conditions of all sub-service flow data related to the sub-service flow data in one service flow, a more detailed checking relation map is obtained when the checking relation is obtained, and the capability of analyzing financial indexes is improved.
Step S104: and acquiring a checking relation related to the financial indexes in the business flow model according to the financial index.
Specifically, according to the enterprise financial index, all business elements related to the financial index are firstly found, and the business elements are data required in the business flow model simulation. The business element can be any one of a business place, a business object, a trigger event, a circulation relation and an occurrence function. And determining the checking relation of the financial indexes through the flow-transfer relation among the service elements. The classic three financial indicators are: the repayment capacity index comprises an asset liability rate, a liquidity rate and a quick action rate; an operational capacity index including a receivables turnover rate, an inventory turnover rate; the profitability index comprises a capital fund profit rate, a sales profit rate (business income profit and tax rate), a cost expense profit rate and the like. For example: acquiring the collusion relationship of the balance sheet in the event network business flow model, wherein the balance rate is total balance/total balance 100%. The business elements related to the calculation of the total debt and the total assets in the business flow model are found, the business elements in all links are connected through business flow relations to form a small business flow model, the relations among all the links in the small business flow model reflect the collusion relations of the rate of the total debt in the balance sheet, so that when the operation condition of an enterprise is analyzed through financial indexes, the relations among all independent account sets can be referred, the influence of non-independent account sets such as office link data in departments and the like can be analyzed, the enterprise evaluation is deeply drilled down, and the capability of analyzing enterprise problems is improved.
Step S105: and analyzing the reasons of the abnormal values in the financial indexes according to the checking relationship. Specifically, according to the audit relationship maps corresponding to the financial indexes obtained in step S104, the parameters in the occurrence functions, the number of objects in each place and the generated events under the current audit relationship are obtained, and the reasons of occurrence of the abnormal conditions are analyzed.
Specifically, in an embodiment, the method for analyzing financial audit relations based on an event network further includes the following steps:
step S106: and setting an objective function according to the service elements needing to be changed in the service flow model.
Specifically, based on the business flow model of the event network, an objective function is constructed according to different logical relations or physical conditions among links in the model and considering the influences of trigger events, generation function parameters and business objects, simulation is carried out according to the changed influential business elements, the current business element function is adjusted to approach the objective function, the change condition of the financial index is obtained according to the influence of the hooking relation adjusted by the model on the financial index, and therefore the enterprise financial unit can be optimized.
Step S107: and recording the change condition of the financial index when the business flow model is matched with the objective function. Specifically, by recording the change of the financial index obtained in step S106, a related optimization scheme can be made. The optimization function of the financial unit is realized.
Specifically, in an embodiment, the method for analyzing financial audit relations based on an event network further includes the following steps:
step S108: and predicting the change condition of the financial index in the service flow model at the next moment based on the current-moment service elements needing to be adjusted in the service flow model. Specifically, in an actual traffic flow, some emergency incidents often make designated planning measures out of reach, for example, natural disasters such as tornado and tsunami which never occur suddenly occur, and air transportation is suddenly prohibited. Experts thus work out emergency measures for emergency events. However, it is unknown whether the established measures will cause greater damage to the financial situation of the company, and in order to avoid further damage, the feasibility of the emergency measures needs to be analyzed. And the service flow model based on the event network can adjust the relevant data and parameters in the service elements needing to be changed according to the emergency, thereby observing the change condition of the whole service flow. After one or more business elements at the current moment are changed according to the emergency measures, whether the established emergency measures are effective or not is analyzed by observing the financial index change condition brought by the change of the business flow model at the next moment or the future moment, so that greater risks are avoided.
By executing the above steps, the financial audit relationship analysis method based on the event network provided by the embodiment of the present invention maps all the service occurrence places in the whole service flow of the enterprise, the objects to be circulated in the service places, and the events triggering the service to be circulated into real numbers or vectors, so as to represent in the saibo space. And then simulating a full service flow based on the event network model and the mapped historical data, finding out related service elements in the event network model according to the financial indexes to be analyzed, and obtaining a financial checking relation map through the relation among the service elements so as to analyze abnormal conditions in the financial indexes according to the checking relation. In addition, according to the event network-based business flow model provided by the invention, the value of the relevant business element in the model is set artificially, so that the change condition of the financial index after the business element is changed is obtained, and the aim of predicting the financial data is fulfilled. The objective function is set according to the service elements needing to be optimized, and the service elements in the event network service flow model are adjusted to achieve the purpose that the optimized parameter function needed by the service flow model approaches the objective function, so that the checking relation after the model is optimized is obtained according to the financial indexes, and the optimization function of financial statement analysis is realized. The capability of predicting, optimizing and analyzing abnormal financial indexes of the business flow model of the comprehensive event network is realized, and the problem that the traditional financial check relation cannot reflect the relation between non-independent account sets is solved.
As shown in fig. 3, the present embodiment further provides a financial audit relationship analysis system based on an event network, which is applied to an electronic device, and the system includes:
the data acquisition module 101 acquires digital enterprise business history data, a business occurrence function set and a digital trigger event set, wherein the digital enterprise business history data includes a business place set, a business object set and a business flow relation set. For details, refer to the related description of step S102 in the above method embodiment, and no further description is provided here.
The model establishing module 102 is used for establishing a business flow model based on an event network, wherein a business flow relation and a business generation function are used for simulating the interaction condition of business objects in each business place of an enterprise, and a digital trigger event is used as a prerequisite condition for starting the business flow; for details, refer to the related description of step S103 in the above method embodiment, and no further description is provided here.
The audit relationship obtaining module 103 obtains audit relationships related to the financial indexes in the business flow model according to the financial indexes. For details, refer to the related description of step S104 in the above method embodiment, and no further description is provided here.
The financial analysis module 104 analyzes the reason of the abnormal value in the financial index according to the checking relationship. For details, refer to the related description of step S105 in the above method embodiment, and no further description is provided here.
The financial audit relationship analysis system based on the event network provided by the embodiment of the present invention is used for executing the financial audit relationship analysis method based on the event network provided by the above embodiment, the implementation manner is the same as the principle, and the detailed content refers to the related description of the above method embodiment, and is not repeated.
Through the cooperative cooperation of the above components, the system for analyzing financial affairs audit relationship based on events provided by the embodiment of the invention maps all the business occurrence places in the whole business flow of an enterprise, objects needing to be circulated in the business places, and events triggering the business to be circulated into real numbers or vectors, so that the business can be represented in the space of the Saybook. And then simulating a full service flow based on the event network model and the mapped historical data, finding out related service elements in the event network model according to the financial indexes to be analyzed, and obtaining a financial checking relation map through the relation between the service elements so as to analyze abnormal conditions in the financial indexes according to the checking relation. In addition, according to the event network-based business flow model provided by the invention, the value of the relevant business element in the model is set artificially, so that the change condition of the financial index after the business element is changed is obtained, and the aim of predicting the financial data is fulfilled. The objective function is set according to the service elements needing to be optimized, and the service elements in the event network service flow model are adjusted to achieve the purpose that the optimized parameter function needed by the service flow model approaches the objective function, so that the check relation after the model is optimized is obtained according to the financial indexes, and the optimization function of financial report analysis is realized. The capability of predicting, optimizing and analyzing abnormal financial indexes of the business flow model of the comprehensive event network is used for solving the problem that the traditional financial check relation cannot reflect the relation between non-independent account sets.
Fig. 4 shows an electronic device of an embodiment of the invention, the device comprising: the processor 901 and the memory 902 may be connected by a bus or other means, and fig. 4 illustrates the connection by the bus as an example.
Processor 901 may be a Central Processing Unit (CPU). The Processor 901 may also be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, or combinations thereof.
The memory 902, which is a non-transitory computer-readable storage medium, may be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as program instructions/modules corresponding to the methods in the above-described method embodiments. The processor 901 executes various functional applications and data processing of the processor by executing non-transitory software programs, instructions and modules stored in the memory 902, namely, implements the method in the above method embodiment.
The memory 902 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function; the storage data area may store data created by the processor 901, and the like. Further, the memory 902 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 902 may optionally include memory located remotely from the processor 901, which may be connected to the processor 901 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
One or more modules are stored in the memory 902, which when executed by the processor 901 performs the methods in the above-described method embodiments.
The specific details of the electronic device may be understood by referring to the corresponding related descriptions and effects in the above method embodiments, and are not described herein again.
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 a computer program, and the implemented program can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, abbreviated as HDD) or a Solid State Drive (SSD), etc.; the storage medium may also comprise a combination of memories of the kind described above.
Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope defined by the appended claims.

Claims (10)

1. A financial auditing relationship analysis method based on an event network is characterized by comprising the following steps:
acquiring digital enterprise business historical data, a business occurrence function set and a digital trigger event set, wherein the digital enterprise business historical data comprises a business place set, a business object set and a business flow relation set, and business places in the business place set comprise business objects in the business object set;
constructing a service flow model based on an event network, wherein a service flow relation in a service flow relation set and a service occurrence function in a service occurrence function set are used for simulating service object interaction conditions in the service flow model, and a digital trigger event in a digital trigger event set is a prerequisite condition for starting service flow in the service flow model;
obtaining a checking relation related to the financial index in the business flow model;
and analyzing the reasons of the abnormal values in the financial indexes according to the audit relationship.
2. The method of claim 1, wherein the obtaining of the digital enterprise business history data, the set of business occurrence functions, and the set of digital trigger events comprises:
acquiring enterprise business historical data and a trigger event set, wherein the enterprise business historical data and the trigger event set respectively comprise reality description data corresponding to the digital enterprise business historical data and the digital trigger event set;
respectively mapping enterprise business historical data and a trigger event set into the digital enterprise business historical data and a digital trigger event set;
and establishing an original generating function in the service generating function set.
3. The method of claim 1, wherein the service flow model is constructed based on an event network, and the model of the event network technology is:
and (P, E, T, a, F), where P corresponds to the service location set, E corresponds to the trigger event set, T corresponds to a service flow relationship in the service flow relationship set, a corresponds to a service flow direction in the service flow relationship set, and F corresponds to a service occurrence function set.
4. The method of claim 3, wherein the event net further comprises tokens, which are all real numbers or vectors, corresponding to the business objects in the set of business objects.
5. The method of claim 1, wherein obtaining the audit relationship related to the financial index in the business flow model according to the financial index comprises:
acquiring all service elements related to the service flow model according to the financial indexes, wherein the service elements can be any one of service places, service objects, triggering events, flow relations and occurrence functions;
and constructing the checking relationship according to the service flow relationship among the service elements related to the checking relationship.
6. The method according to claim 1 or 5, characterized in that the method further comprises:
setting an objective function according to the service elements needing to be changed in the service flow model;
and recording the change condition of the financial index when the business flow model is matched with the objective function.
7. The method according to claim 1 or 5, characterized in that the method further comprises:
and predicting the change condition of the financial index in the service flow model at the next moment based on the current-moment service elements needing to be adjusted in the service flow model.
8. A financial audit relationship analysis system based on an event network, the system comprising:
the system comprises a data acquisition module, a service processing module and a service processing module, wherein the data acquisition module is used for acquiring digital enterprise service historical data, a service occurrence function set and a digital trigger event set, the digital enterprise service historical data comprises a service place set, a service object set and a service flow relation set, and service places in the service place set comprise service objects in the service object set;
the model establishing module is used for establishing a service flow model based on an event network, wherein the service flow relation in the service flow relation set and the service occurrence function in the service occurrence function set are used for simulating the service object interaction condition in the service flow model, and the digital trigger event in the digital trigger event set is a prerequisite condition for starting the service flow in the service flow model;
the audit relationship acquisition module is used for acquiring audit relationships related to the financial indexes in the business flow model;
and the financial analysis module is used for analyzing the reasons of abnormal values in the financial indexes according to the audit relationship.
9. An electronic device, comprising:
a memory and a processor communicatively coupled to each other, the memory having stored therein computer instructions, the processor executing the computer instructions to perform the method of any of claims 1-7.
10. A computer-readable storage medium having stored thereon computer instructions for causing a computer to thereby perform the method of any one of claims 1-7.
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