CN113610616B - Financial investigation relation analysis method and analysis system based on event network - Google Patents
Financial investigation relation analysis method and analysis system based on event network Download PDFInfo
- Publication number
- CN113610616B CN113610616B CN202110940532.3A CN202110940532A CN113610616B CN 113610616 B CN113610616 B CN 113610616B CN 202110940532 A CN202110940532 A CN 202110940532A CN 113610616 B CN113610616 B CN 113610616B
- Authority
- CN
- China
- Prior art keywords
- business
- relation
- service
- financial
- event
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/12—Accounting
- G06Q40/125—Finance or payroll
Abstract
The invention discloses a financial audit relation analysis method and an analysis system based on an event network, wherein the method comprises the following steps: acquiring digital enterprise business history data, a business occurrence function set and a digital trigger event set, wherein the digital enterprise business history data comprises a business place set, a business object set and a business circulation 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 the event network; acquiring a colluded auditing relation related to a financial index in a business flow model; and analyzing the reasons for the abnormal values in the financial indexes according to the checking relationship. The technical scheme provided by the invention solves the problem that the traditional financial audit relation can not reflect the relation between the non-independent account covers.
Description
Technical Field
The invention relates to the field of financial accounting report analysis of computer technology, in particular to a financial investigation relation 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 interests of the enterprises to comprehensively know and hold the information such as the business conditions, financial conditions, cash flow and the like of the enterprises. When analyzing enterprise financial reports, besides knowing the contents of each report, the listing of each item should be determined, and the relationship between each item in each report. The meaning of the financial statement can be really understood only by understanding the auditing relationship among the financial statements, and the enterprise can be really understood through deep analysis. Whereas traditional financial audit relationship construction is based on fixed accounting subjects, such as main accounting subjects in balance sheets, profit sheets, cash flow sheets, and on fixed formulas. Although the logical relationship of the known financial statement can be reflected, the relative simple and direct corresponding relationship of the financial index can be reflected, and the relationship between the non-independent account covers is not reflected. The traditional method for constructing the audit relation cannot analyze and verify the potential problems in the audit relation. With the development of enterprises, the personnel and departments of the enterprises increase, the business process is more complex, the financial indexes to be checked increase, and how to evaluate the enterprises in detail through the financial audit relationship in the enterprises is a problem which is difficult to overcome at present.
Disclosure of Invention
In view of the above, the embodiment of the invention provides a method and a system for analyzing financial audit relation based on an event network, thereby increasing the depth of establishing the financial audit relation and improving the capability of analyzing financial indexes in enterprise business activities.
According to a first aspect, the invention provides a method for analyzing a financial audit relation based on an event network, the method comprising:
acquiring digital enterprise business history data, a business occurrence function set and a digital trigger event set, wherein the digital enterprise business history data comprises a business place set, a business object set and a business flow transfer 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 the service flow relation in the service flow relation set and the service generating function in the service generating function set are used for simulating service object interaction conditions in the service flow model, and the digital triggering event in the digital triggering event set is a precondition for starting service flow in the service flow model;
acquiring a colluded relationship 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 colluded relation.
Optionally, the acquiring the digital enterprise business history data, the business generation function set and the digital trigger event set includes:
acquiring enterprise business history data and a trigger event set, wherein the enterprise business history data and the trigger event set respectively comprise realistic description data corresponding to the digital enterprise business history data and the digital trigger event set;
mapping enterprise business history data and a trigger event set into the digital enterprise business history data and a digital trigger event set;
and establishing an original generating function in the service generating function set.
Optionally, the service flow model is built based on an event network, and the model of the event network technology is as follows:
event network= (P, E, T, a, F), where P corresponds to the set of business places, E corresponds to the set of trigger events, T corresponds to a business flow relationship in the business flow relationship, a corresponds to a business flow direction in the set of business flow relationships, and F corresponds to a set of business occurrence functions.
Optionally, the event network further includes a token, which is a whole real number or vector, corresponding to a business object in the business object set. .
Optionally, the obtaining the audit relation related to the financial index in the business flow model according to the financial index includes:
acquiring all relevant business elements in the business flow model according to the financial index, wherein the business elements can be any one of business places, business objects, triggering events, circulation relations and generating functions;
and constructing the audit relation according to the business circulation relation between the business elements related to the audit relation.
Optionally, the method further comprises:
setting an objective function according to the business elements to be changed in the business 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:
based on the business elements to be adjusted at the current moment in the business flow model, predicting the change condition of the financial index in the business flow model at the next moment.
According to a second aspect, a system for analyzing financial audit relationships based on an event network, the system comprising:
the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring digital enterprise business history data, a business occurrence function set and a digital triggering event set, the digital enterprise business history data comprises a business place set, a business object set and a business circulation relation set, and business places in the business place set comprise business objects in the business object set;
the system comprises a model building module, a service flow model building module and a service flow model building module, wherein the service flow relation in a service flow relation set and a service generating function in a service generating function set are used for simulating service object interaction conditions in the service flow model, and digital triggering events in a digital triggering event set are preconditions for starting service flows in the service flow model;
the audit relation acquisition module is used for acquiring audit relations related to the financial indexes in the service flow model;
and the financial analysis module is used for analyzing the reasons of the abnormal values in the financial indexes according to the colluded-checked relation.
According to a third aspect, an electronic device, comprises:
the system comprises a memory and a processor, wherein the memory and the processor are in communication connection, the memory stores computer instructions, and the processor executes the computer instructions to perform the method of the first aspect or any optional implementation manner of the first aspect.
According to a fourth aspect, an embodiment of the present invention provides a computer readable storage medium, wherein the computer readable storage medium stores computer instructions for causing the computer to perform the method of the first aspect, or any optional implementation manner of the first aspect.
The technical scheme of the invention has the following advantages:
according to the financial audit relation analysis method and analysis system based on the event network, provided by the embodiment of the invention, all business occurrence places in the whole business flow of an enterprise, objects needing to flow in the business places and events triggering the business to flow are mapped into real numbers or vectors, so that the real numbers or vectors can be represented in a microblog space. And then simulating the whole business flow based on the event network model and the mapped historical data, finding business elements related to the event network model according to the financial indexes to be analyzed, and obtaining a financial audit relation map through the relation among the business elements so as to analyze abnormal conditions in the financial indexes according to the audit relation. In addition, according to the business flow model based on the event network, the value of the relevant business element in the model is manually set, so that the change condition of the financial index after the business element is changed is obtained, and the purpose of predicting the financial data is achieved. And setting an objective function according to the business elements required to be optimized, and adjusting the business elements in the business flow model of the event network to achieve the aim that the optimization parameter function required by the business flow model approximates to the objective function, so that the audit relation after the optimization model is obtained according to the financial index, and the optimization function of financial statement analysis is realized. The ability of the comprehensive event network business flow model to predict, optimize and analyze abnormal financial indexes overcomes the problem that the traditional financial audit relation can not reflect the relation between the non-independent account covers.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram illustrating steps of a method for analyzing a financial audit relation 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 method for analyzing a financial audit relation based on an event network according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a system for analyzing financial audit relation 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
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to fall within the scope of the invention.
The technical features mentioned in the different embodiments of the invention described below can be combined with one another as long as they do not conflict with one another.
Referring to fig. 1 and fig. 2, the method for analyzing a financial audit relation based on an event network according to an embodiment of the present invention specifically includes the following steps:
step S101: event network technology modeling mode. Specifically, an Event Network (EN) is a system platform for realizing distributed concurrency based on Event driving, being compatible with a discrete and streaming hybrid model, and presenting global simulation, diagnosis and optimization in a dragging mode. Compared with the currently mainstream petrinet, eventbasedsystem and other systems on the market. The event network provided by the embodiment of the invention has the advantages that: the method has stronger expressive power, more freedom and clear network and topology layers, can describe events of physical and virtual worlds simultaneously, and supports discrete and continuous mixed modeling.
The theoretical model of the event network is en= (P, E, T, a, F). Where P is a collection of a plaza (Place), which is a Place where each business occurs in a full business process, for example, a process of producing iron, and an ironmaking plant is a plaza. In the embodiment of the invention, the places for carrying out various business activities are libraries, such as a warehouse for carrying out goods transaction, a financial office for carrying out transfer, an order service center and the like.
Wherein E is an Event (Event) set, an Event is a prerequisite for triggering the whole business flow to start running, for example, in the process of goods transaction of enterprises, goods can be shipped only when goods are received, the quantity of the goods can be changed at the moment, and the action of receiving the goods is the triggering Event in the process. Events include unexpected and unexpected events, such as when a receipt of a payment is an unexpected event, because of bad weather the transfer of goods has to be made to unexpected events.
Wherein T is a Transition set, A is a directed Arc set, and one flow is Transition in one full service flow. For example, in order delivery, the transfer of an order from a customer service center to an office is a transition. Each transition has a direction, which in the above example is a directed arc from the customer service center to the office.
Wherein, F is a collection of generating functions (Fire functions), in a full service flow, the generating functions in the model are written by considering the pre-conditions, the generating time and the generating changes, including the changing token number and the events. The occurrence function F (P, E, t) includes, for each transition, the preconditions required for the occurrence of the transition including for the transition the required events, which libraries are prefixed with the number of tokens to be consumed in the library, defining the occurrence time t, allowing t=0, t being the duration of the occurrence function. After the end of the junction, corresponding token numbers are calculated and generated according to the post function, the obtained token numbers are put into a suffix library, and meanwhile, the post function can also generate one or more events to be put into a suffix event set. For example, for a process of goods transaction, the occurrence function needs to consider preconditions such as whether an order is paid, whether weather conditions are allowed, whether national policies allow transportation, etc., goods stored in the warehouse are token, in the whole business flow of the enterprise, token in each warehouse is not consistent, for example, milk is stored in the warehouse, and an order is stored in the office, and then the token corresponding to the office and the warehouse is 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, and corresponds to the business object in the event network model provided by the embodiment of the invention, wherein the token is designed to be represented by full real numbers and/or vectors, so that the modeling capability of the event network model is enhanced, and the method is not only applicable to the discrete model, but also applicable to the continuous production process. For example, a token may be expressed as an object in an integer unit such as a person (unit: personal) or a computer (unit: desk), or may be expressed as an object in 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 flour plus 2 liters of water is put into an oven, and the oven baking is triggered by energizing the oven, thereby obtaining 1 bread, which can be mapped and simulated by the event network. Wherein 1kg of flour and 2 liters of water are respectively different token, a bowl in which the bag for containing the flour is also used as a warehouse, the process of adding water into the flour to become bread is a transition, the generated bread is token placed in the basket, the transition process needs to be started to be electrified for the oven, and then the action of inserting electricity is an event in the process.
Step S102: the method comprises the steps of obtaining digital enterprise business history data, a business generating function set and a digital triggering event set, wherein the digital enterprise business history data comprises a business place set, a business object set and a business circulation relation set, and business places in the business place set comprise business objects in the business object set.
Specifically, modeling is performed on enterprise service flows based on event network technology, parameters required by an event network model are corresponding, and historical data in the enterprise service occurrence process are acquired and used for training the event network model. The required business place set corresponds to a library of the event network, the business object set corresponds to a token of the event network, the business circulation relation set corresponds to a transition set and a directed arc set of the event network, the business generating function set corresponds to a generating function set of the event network, and the original generating function is constructed according to expert experience. The digital trigger event set corresponds to an event set of an event network.
The original data in the inventory service flow of a certain enterprise, which is initially acquired, is enterprise service history data and trigger event sets, and is abstract data such as physical description and language text of the physical world, and the data cannot be directly applied to an event network model, so that virtual mapping is required to be carried out on the enterprise service history data and the data in the trigger event sets, and the mapping is carried out on the enterprise service history data and the data in the trigger event sets, so that digital enterprise service history data and the digital trigger event sets which can be directly applied to training and testing of the event network model are obtained. The space of a race (Cyberspace) is an abstract concept in the philosophy and computer arts, referring to virtual reality in computers and computer networks. The entity of the physical world is mapped into the microblog space through a conceptual model and a data model in combination with the prior art, so that the application of the data in the event network model is realized.
And establishing an original generating function in the service generating function set according to the precondition of service interaction, the interaction time length, the object quantity after the service flow is finished and the event change condition. For example, in a business transaction process of historical data, pre-conditions such as order delivery conditions, weather conditions, policy conditions and the like need to be considered, the flow time of goods in a warehouse, the quantity of the goods to other warehouses generated after the circulation is completed, and the events affecting other links generated after the circulation is completed are needed to establish the generating 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 generating function in the service generating function set are used for simulating the service object interaction condition in the service flow model, and the digital triggering event in the digital triggering event set is a precondition for starting the service flow in the service flow model.
Specifically, the conventional technology is based on fixed accounting subjects, such as main accounting subjects in an asset liability list, a profit list and a cash flow list, and is based on fixed formulas when the audit relation is built in an enterprise, and only the financial audit relation of a business unit forming an independent account cover (the account cover refers to a general name of all accounting business data files for storing accounting objects, and the files contained in the account cover include accounting subjects, accounting vouchers, accounting books, accounting statements and the like) cannot be drilled down in finer granularity, and changes caused by adjustment of the business unit are difficult to present. And (3) 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 ring node in the enterprise internal full business flow. And recording account change conditions of each order according to the change conditions of each link data in the historical data. For example, the occurrence of a transaction involves transfer and goods transfer, and the event network records not only the goods transfer condition and the transfer condition in detail, but also the transfer condition of other links related to the transaction, for example, the generation of an order requires the comprehensive order information in the office, staff a and B are respectively responsible for different parts of the order, and the first part of information collected by staff a and the second part of information collected by staff B are respectively transferred to the business flow in the office, which belongs to the department. By recording the change condition of all sub-business flow data related to the business flow, a more detailed investigation relation map is obtained when investigation relation is obtained, and the capability of analyzing financial indexes is improved.
Step S104: and obtaining the audit relation related to the financial index in the business flow model according to the financial index.
Specifically, all business elements related to the financial index are first found according to the financial index of the enterprise, and the business elements are data required in business flow model simulation. The business element may be any one of a business location, a business object, a trigger event, a circulation relationship, and an occurrence function. And determining the audit relation of the financial indexes through the flow relation among the business elements. The classical three financial indexes are: repayment capability indicators including liability rates, liquidity rates, and snap-action rates; operational capability indicators including accounts receivable turnover, inventory turnover; the profitability index includes a funding profit margin (sales profit margin), a cost charge profit margin, etc. For example: the method comprises the steps of obtaining the audit relation of an asset liability table in an event network business flow model, and firstly, the asset liability rate=total liability/total asset is 100%. Business elements which are all related to the calculation of total liabilities and total assets in a business flow model are found, business elements in all links are related through business flow relations to form a small business flow model, the relations among all links in the small business flow model reflect the auditing relations of the liability rates of the assets in the liability list, and therefore when the operation condition of an enterprise is analyzed through financial indexes, the relations among all independent account covers can be consulted, the influence of non-independent account covers such as office link data in departments can be analyzed, the enterprise assessment is further drilled down, and the capability of analyzing the enterprise problem is improved.
Step S105: and analyzing the reasons for the abnormal values in the financial indexes according to the checking relationship. Specifically, according to the audit relation graphs corresponding to the financial indexes obtained in step S104, by obtaining the parameters in each occurrence function, the number of objects in each place and the generated event in the current audit relation, the cause of the occurrence of the abnormality is analyzed, and compared with the traditional financial audit relation, the cause tracing result of the financial audit relation method based on the event network is more detailed and efficient, so that relevant business unit adjustment strategies are formulated to avoid the occurrence of the abnormality.
Specifically, in one embodiment, the method for analyzing the financial audit relation based on the event network further includes the following steps:
step S106: and setting an objective function according to the business elements which need to be changed in the business flow model.
Specifically, based on a business flow model of an event network, an objective function is constructed according to different logic relations or physical conditions among links in the model, in consideration of the influence of triggering events, occurrence function parameters and business objects, simulation is performed according to changing the business elements with influence, 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 investigation relation after the model adjustment 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 condition of the financial index obtained in step S106, a relevant optimization scheme can be made. The optimizing function of the financial unit is realized.
Specifically, in one embodiment, the method for analyzing the financial audit relation based on the event network further includes the following steps:
step S108: based on the business elements of the current moment to be adjusted in the business flow model, predicting the change condition of the financial index in the business flow model of the next moment. In particular, in the actual traffic flow, some emergency incidents often make the designated plan unsmooth, such as sudden occurrence of natural disasters such as tornadoes, tsunamis, etc., which never occur, sudden prohibition of air traffic, etc. Experts thus make emergency measures for emergency events. However, it is not known whether the established measures would cause greater losses to the financial situation of the company, and in order to avoid more losses, the feasibility of emergency measures needs to be analyzed. The business flow model based on the event network can adjust the related data and parameters in the business elements which need to be changed according to the emergency, thereby observing the change condition of the whole business flow. After one or more business factors at the current moment are changed according to the emergency measures, the financial index change condition caused by business flow model change at the next moment or future moment is observed to analyze whether the formulated emergency measures are effective or not, so that larger risks are avoided.
By executing the steps, the financial audit relation analysis method based on the event network provided by the embodiment of the invention can be used for representing in a microblog space by mapping all 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. And then simulating the whole business flow based on the event network model and the mapped historical data, finding business elements related to the event network model according to the financial indexes to be analyzed, and obtaining a financial audit relation map through the relation among the business elements so as to analyze abnormal conditions in the financial indexes according to the audit relation. In addition, according to the business flow model based on the event network, the value of the relevant business element in the model is manually set, so that the change condition of the financial index after the business element is changed is obtained, and the purpose of predicting financial data is achieved. And setting an objective function according to the business elements required to be optimized, and adjusting the business elements in the event network business flow model to achieve the aim that the optimization parameter function required by the business flow model approaches the objective function, so that the audit relation after the optimization model is obtained according to the financial index, and the optimization function of financial statement analysis is realized. The ability of predicting, optimizing and analyzing abnormal financial indexes of the comprehensive event network business flow model overcomes the problem that the traditional financial audit relation can not reflect the relation between the non-independent account covers.
As shown in fig. 3, the present embodiment further provides a financial audit relation 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 comprises a business place set, a business object set and a business circulation relation set. For details, refer to the related description of step S102 in the above method embodiment, and no further description is given here.
The model building module 102 is used for building a service flow model based on an event network, wherein a service flow relation and a service generating function are used for simulating interaction conditions of service objects in each service place of an enterprise, and a digital triggering event is used as a precondition for starting a service flow; for details, see the description of step S103 in the above method embodiment, and the details are not repeated here.
And the audit trail acquisition module 103 acquires audit trail related to the financial index in the business flow model according to the financial index. For details, refer to the related description of step S104 in the above method embodiment, and no further description is given here.
And the financial analysis module 104 is used for analyzing the reasons for the abnormal value in the financial index according to the checking relation. For details, refer to the description related to step S105 in the above method embodiment, and no further description is given here.
The embodiment of the invention provides a financial auditing relation analysis system based on an event network, which is used for executing the financial auditing relation analysis method based on the event network provided by the embodiment, and the implementation mode and principle are the same, and details are referred to the related description of the embodiment of the method and are not repeated.
Through the collaboration of the components, the analysis system based on the event financial audit relation provided by the embodiment of the invention can be used for representing in a microblog space by mapping all business occurrence places in the whole business flow of an enterprise, objects needing to be circulated in a business place and events triggering the business to be circulated into real numbers or vectors. And then simulating the whole business flow based on the event network model and the mapped historical data, finding business elements related to the event network model according to the financial indexes to be analyzed, and obtaining a financial audit relation map through the relation among the business elements so as to analyze abnormal conditions in the financial indexes according to the audit relation. In addition, according to the business flow model based on the event network, the value of the relevant business element in the model is manually set, so that the change condition of the financial index after the business element is changed is obtained, and the purpose of predicting financial data is achieved. And setting an objective function according to the business elements required to be optimized, and adjusting the business elements in the event network business flow model to achieve the aim that the optimization parameter function required by the business flow model approximates to the objective function, so that the audit relation after the optimization model is obtained according to the financial index, and the optimization function of financial statement analysis is realized. The capability of predicting, optimizing and analyzing abnormal financial indexes by the comprehensive event network business flow model overcomes the problem that the traditional financial audit relation can not reflect the relation between the non-independent account covers.
Fig. 4 shows an electronic device according to an embodiment of the invention, the device comprising: the processor 901 and the memory 902 may be connected by a bus or otherwise, for example in fig. 4.
The processor 901 may be a central processing unit (Central Processing Unit, CPU). The processor 901 may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or a combination thereof.
The memory 902 is used as a non-transitory computer readable storage medium for storing non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules corresponding to the methods in the method embodiments described above. The processor 901 executes various functional applications of the processor and data processing, i.e., implements the methods in the above-described method embodiments, by running non-transitory software programs, instructions, and modules stored in the memory 902.
The memory 902 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, at least one application program required for a function; the storage data area may store data created by the processor 901, and the like. In addition, 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, memory 902 optionally includes memory remotely located relative to processor 901, which may be connected to 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 that, when executed by the processor 901, perform the methods of the method embodiments described above.
The specific details of the electronic device may be correspondingly understood by referring to the corresponding related descriptions and effects in the above method embodiments, which are not repeated herein.
It will be appreciated by those skilled in the art that implementing all or part of the above-described methods in the embodiments may be implemented by a computer program for instructing relevant hardware, and the implemented program may be stored in a computer readable storage medium, and the program may include the steps of the embodiments of the above-described methods when executed. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a Flash Memory (Flash Memory), a Hard Disk (HDD), or a Solid State Drive (SSD); the storage medium may also comprise a combination of memories of the kind described above.
Although embodiments of the present invention have been described in connection with the accompanying drawings, various modifications and variations may be made by those skilled in the art without departing from the spirit and scope of the invention, and such modifications and variations are within the scope of the invention as defined by the appended claims.
Claims (9)
1. The method for analyzing the financial audit relation based on the event network is characterized by comprising the following steps:
acquiring digital enterprise business history data, a business occurrence function set and a digital trigger event set, wherein the digital enterprise business history data comprises a business place set, a business object set and a business circulation 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 the service flow relation in the service flow relation set and the service generating function in the service generating function set are used for simulating service object interaction conditions in the service flow model, and the digital triggering event in the digital triggering event set is a precondition for starting service flow in the service flow model; the service flow model is constructed based on the event network, and the event network technology model is as follows: event network= (P, E, T, a, F), the P corresponding to the set of business places, the E corresponding to the set of trigger events, the T corresponding to a business flow relationship in the business flow relationship, the a corresponding to a business flow direction in the set of business flow relationships, the F corresponding to a set of business occurrence functions;
acquiring a colluded and checked relation related to a financial index in the business flow model;
and analyzing the reasons of the abnormal values in the financial indexes according to the colluded relation.
2. The method of claim 1, wherein the obtaining digital enterprise business history data, the set of business occurrence functions, and the set of digital trigger events comprises:
acquiring enterprise business history data and a trigger event set, wherein the enterprise business history data and the trigger event set respectively comprise reality description data corresponding to the digital enterprise business history data and the digital trigger event set;
mapping enterprise business history data and a trigger event set into the digital enterprise business history data and the digital trigger event set respectively;
and establishing an original generating function in the service generating function set.
3. The method of claim 1, wherein the event network further comprises a token, which is a whole real number or vector, corresponding to a business object in the set of business objects.
4. The method of claim 1, wherein the obtaining the audit relation related to the financial index in the business flow model according to the financial index comprises:
acquiring all relevant service elements in the service flow model according to the financial index, wherein the service elements are any one of service places, service objects, triggering events, circulation relations and generating functions;
and constructing the audit relation according to the business circulation relation between the business elements related to the audit relation.
5. The method according to claim 1 or 4, characterized in that the method further comprises:
setting an objective function according to the business elements to be changed in the business flow model;
and recording the change condition of the financial index when the business flow model is matched with the objective function.
6. The method according to claim 1 or 4, characterized in that the method further comprises:
based on the business elements to be adjusted at the current moment in the business flow model, predicting the change condition of the financial index in the business flow model at the next moment.
7. A financial audit relationship analysis system based on an event network, the system comprising:
the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module acquires digital enterprise business history data, a business occurrence function set and a digital trigger event set, the digital enterprise business history data comprises a business place set, a business object set and a business circulation relation set, and business places in the business place set comprise business objects in the business object set;
the system comprises a model building module, a service flow model building module and a service flow model building module, wherein the service flow relation in a service flow relation set and a service generating function in a service generating function set are used for simulating service object interaction conditions in the service flow model, and digital triggering events in a digital triggering event set are preconditions for starting service flows in the service flow model; the service flow model is constructed based on the event network, and the event network technology model is as follows: event network= (P, E, T, a, F), the P corresponding to the set of business places, the E corresponding to the set of trigger events, the T corresponding to a business flow relationship in the business flow relationship, the a corresponding to a business flow direction in the set of business flow relationships, the F corresponding to a set of business occurrence functions;
the audit relation acquisition module is used for acquiring audit relation related to the financial index in the service flow model;
and the financial analysis module is used for analyzing the reasons of the abnormal values in the financial indexes according to the colluded-checked relation.
8. An electronic device, comprising:
a memory and a processor in communication with each other, the memory having stored therein computer instructions, the processor executing the computer instructions to perform the method of any of claims 1-6.
9. A computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110940532.3A CN113610616B (en) | 2021-08-16 | 2021-08-16 | Financial investigation relation analysis method and analysis system based on event network |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110940532.3A CN113610616B (en) | 2021-08-16 | 2021-08-16 | Financial investigation relation analysis method and analysis system based on event network |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113610616A CN113610616A (en) | 2021-11-05 |
| CN113610616B true CN113610616B (en) | 2023-10-13 |
Family
ID=78340859
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110940532.3A Active CN113610616B (en) | 2021-08-16 | 2021-08-16 | Financial investigation relation analysis method and analysis system based on event network |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113610616B (en) |
Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2189916A1 (en) * | 2008-11-20 | 2010-05-26 | Sap Ag | Federating business event data within an enterprise network |
| CN103019903A (en) * | 2013-01-18 | 2013-04-03 | 哈尔滨工业大学 | Embedded equipment energy consumption simulating evaluation system |
| CN106407216A (en) * | 2015-07-31 | 2017-02-15 | 国网能源研究院 | Clue tracing audition system developed on basis of semantic net construction path and construction method of clue tracing audition system |
| CN106779995A (en) * | 2016-12-07 | 2017-05-31 | 西京学院 | A kind of construction method of interdisciplinary profitability Financial assessment indexes |
| CN107506179A (en) * | 2017-07-07 | 2017-12-22 | 中国建设银行股份有限公司 | A kind of interface prototype data creation method and computer equipment |
| CN107633015A (en) * | 2017-08-23 | 2018-01-26 | 阿里巴巴集团控股有限公司 | A kind of data processing method, device and equipment |
| CN108416042A (en) * | 2018-03-14 | 2018-08-17 | 贵州电网有限责任公司 | Data analysis management system based on the Mapping implementation informationization of index storehouse data source |
| CN109658115A (en) * | 2018-12-24 | 2019-04-19 | 安徽经邦软件技术有限公司 | Financial statement antifraud method |
| CN111061704A (en) * | 2019-11-01 | 2020-04-24 | 东方微银科技(北京)有限公司 | Financial analysis report generation method and equipment |
| CN111159157A (en) * | 2019-12-31 | 2020-05-15 | 远光软件股份有限公司 | Method and device for indexing processing of enterprise report data |
| CN111177416A (en) * | 2020-04-13 | 2020-05-19 | 傲林科技有限公司 | Event root cause analysis model construction method, event root cause analysis method and device |
| CN112182250A (en) * | 2020-10-27 | 2021-01-05 | 深圳市万取一搜人工智能有限公司 | Construction method of checking relation knowledge graph, and financial statement checking method and device |
| CN112200492A (en) * | 2020-11-02 | 2021-01-08 | 傲林科技有限公司 | Digital twin model construction and business activity prediction analysis method and device |
| CN112348251A (en) * | 2020-11-05 | 2021-02-09 | 傲林科技有限公司 | Decision assistance method and device, electronic equipment and storage medium |
| WO2021056590A1 (en) * | 2019-09-29 | 2021-04-01 | 西门子股份公司 | Method for calibrating simulation model of production line, and device |
| CN112966057A (en) * | 2021-04-22 | 2021-06-15 | 上海深杳智能科技有限公司 | Knowledge graph construction method, knowledge graph construction system, information processing system, terminal and medium |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080004922A1 (en) * | 1997-01-06 | 2008-01-03 | Jeff Scott Eder | Detailed method of and system for modeling and analyzing business improvement programs |
| US20120109842A1 (en) * | 2010-10-29 | 2012-05-03 | International Business Machines Corporation | Conversion traceability for product supply network |
-
2021
- 2021-08-16 CN CN202110940532.3A patent/CN113610616B/en active Active
Patent Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2189916A1 (en) * | 2008-11-20 | 2010-05-26 | Sap Ag | Federating business event data within an enterprise network |
| CN103019903A (en) * | 2013-01-18 | 2013-04-03 | 哈尔滨工业大学 | Embedded equipment energy consumption simulating evaluation system |
| CN106407216A (en) * | 2015-07-31 | 2017-02-15 | 国网能源研究院 | Clue tracing audition system developed on basis of semantic net construction path and construction method of clue tracing audition system |
| CN106779995A (en) * | 2016-12-07 | 2017-05-31 | 西京学院 | A kind of construction method of interdisciplinary profitability Financial assessment indexes |
| CN107506179A (en) * | 2017-07-07 | 2017-12-22 | 中国建设银行股份有限公司 | A kind of interface prototype data creation method and computer equipment |
| CN107633015A (en) * | 2017-08-23 | 2018-01-26 | 阿里巴巴集团控股有限公司 | A kind of data processing method, device and equipment |
| CN108416042A (en) * | 2018-03-14 | 2018-08-17 | 贵州电网有限责任公司 | Data analysis management system based on the Mapping implementation informationization of index storehouse data source |
| CN109658115A (en) * | 2018-12-24 | 2019-04-19 | 安徽经邦软件技术有限公司 | Financial statement antifraud method |
| WO2021056590A1 (en) * | 2019-09-29 | 2021-04-01 | 西门子股份公司 | Method for calibrating simulation model of production line, and device |
| CN111061704A (en) * | 2019-11-01 | 2020-04-24 | 东方微银科技(北京)有限公司 | Financial analysis report generation method and equipment |
| CN111159157A (en) * | 2019-12-31 | 2020-05-15 | 远光软件股份有限公司 | Method and device for indexing processing of enterprise report data |
| CN111177416A (en) * | 2020-04-13 | 2020-05-19 | 傲林科技有限公司 | Event root cause analysis model construction method, event root cause analysis method and device |
| CN112182250A (en) * | 2020-10-27 | 2021-01-05 | 深圳市万取一搜人工智能有限公司 | Construction method of checking relation knowledge graph, and financial statement checking method and device |
| CN112200492A (en) * | 2020-11-02 | 2021-01-08 | 傲林科技有限公司 | Digital twin model construction and business activity prediction analysis method and device |
| CN112348251A (en) * | 2020-11-05 | 2021-02-09 | 傲林科技有限公司 | Decision assistance method and device, electronic equipment and storage medium |
| CN112966057A (en) * | 2021-04-22 | 2021-06-15 | 上海深杳智能科技有限公司 | Knowledge graph construction method, knowledge graph construction system, information processing system, terminal and medium |
Non-Patent Citations (4)
| Title |
|---|
| H银行信贷业务中财务分析的优化研究;王陆选;《中国优秀硕士学位论文全文数据库 经济与管理科学辑》(第(2016)10期);J162-8 * |
| MODELLING OF BUSINESS SYSTEM DEVELOPMENT ON THE BASES OF PETRI NETS AND GRAPHS OF INCREMENTS;S.A. Yuditskiy等;《Proceedings of the 17th World Congress The International Federation of Automatic Control》;第690-694页 * |
| 基于Petri网的分层业务过程挖掘方法;刘聪等;《计算机集成制造系统》;第26卷(第6期);第1525-1537页 * |
| 基于函数Petri网的有毒雾霾对地表自然生态环境的危害性评价研究;黄光球等;《湘潭大学自然科学学报》;第40卷(第3期);第89-94页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113610616A (en) | 2021-11-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Ivanov et al. | A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 | |
| US20200175439A1 (en) | Predictive Risk Assessment In Multi-System Modeling | |
| CN104361463A (en) | Small and medium-sized enterprise network financing system and method | |
| US20200258027A1 (en) | Methods and systems for controlling a display screen with graphical objects for scheduling | |
| US20110251874A1 (en) | Customer analytics solution for enterprises | |
| US9798788B1 (en) | Holistic methodology for big data analytics | |
| CN103038752A (en) | Bug clearing house | |
| US20150242971A1 (en) | Selecting Deliverables and Publishing Deliverable Checklists | |
| US11934415B2 (en) | Computer-based systems for dynamic data discovery and methods thereof | |
| CN109118094B (en) | Enterprise service application system based on credit system | |
| CN112817939A (en) | Construction method of data wind control model and data wind control model | |
| CN110458691A (en) | Risk monitoring and control method and device before a kind of loan | |
| Onar et al. | A fuzzy rule based inference system for early debt collection | |
| CN109002465A (en) | For having the method and system of the dialogue input equipment of intelligent crowdsourcing option | |
| US20230139364A1 (en) | Generating user interfaces comprising dynamic base limit value user interface elements determined from a base limit value model | |
| US20240054151A1 (en) | Systems and methods of correlating database entries for automated metric computation | |
| US11526859B1 (en) | Cash flow forecasting using a bottoms-up machine learning approach | |
| US20230342699A1 (en) | Systems and methods for modeling and analysis of infrastructure services provided by cloud services provider systems | |
| CN113610616B (en) | Financial investigation relation analysis method and analysis system based on event network | |
| KR101059107B1 (en) | Long-term financial management method and system thereof | |
| Mbaluka | Big data management and business value in the commercial banking sector in Kenya | |
| US10713016B1 (en) | Method of implementing rules on visual language using visual blocks | |
| Castaño et al. | Theory of constraints in the service sector: Characterization for banking and analysis of the factors involved in its adoption | |
| CN111328406A (en) | System and method for automatically preparing visual representation of target realizability | |
| US20170004514A1 (en) | Methods and apparatus related to data processing |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |