CN113408912A - Auditing system and electronic device for television station - Google Patents
Auditing system and electronic device for television station Download PDFInfo
- Publication number
- CN113408912A CN113408912A CN202110700575.4A CN202110700575A CN113408912A CN 113408912 A CN113408912 A CN 113408912A CN 202110700575 A CN202110700575 A CN 202110700575A CN 113408912 A CN113408912 A CN 113408912A
- Authority
- CN
- China
- Prior art keywords
- module
- task
- information
- target
- data
- 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.)
- Granted
Links
- 238000004458 analytical method Methods 0.000 claims abstract description 33
- 238000012550 audit Methods 0.000 claims abstract description 21
- 238000007405 data analysis Methods 0.000 claims abstract description 21
- 238000012384 transportation and delivery Methods 0.000 claims description 12
- 238000012545 processing Methods 0.000 claims description 11
- 238000012544 monitoring process Methods 0.000 claims description 7
- 238000005516 engineering process Methods 0.000 claims description 6
- 238000009877 rendering Methods 0.000 claims description 6
- 230000001360 synchronised effect Effects 0.000 claims description 6
- 230000003287 optical effect Effects 0.000 claims description 2
- 230000010354 integration Effects 0.000 abstract description 10
- 238000007726 management method Methods 0.000 abstract description 6
- 238000006243 chemical reaction Methods 0.000 abstract description 5
- 238000000034 method Methods 0.000 description 24
- 238000010586 diagram Methods 0.000 description 22
- 230000006870 function Effects 0.000 description 12
- 230000008569 process Effects 0.000 description 8
- 238000004590 computer program Methods 0.000 description 7
- 238000012986 modification Methods 0.000 description 5
- 230000004048 modification Effects 0.000 description 5
- 238000012015 optical character recognition Methods 0.000 description 4
- 235000010627 Phaseolus vulgaris Nutrition 0.000 description 3
- 244000046052 Phaseolus vulgaris Species 0.000 description 3
- 238000003860 storage Methods 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 238000013507 mapping Methods 0.000 description 2
- 238000013439 planning Methods 0.000 description 2
- 230000007480 spreading Effects 0.000 description 2
- 238000003892 spreading Methods 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000006978 adaptation Effects 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000006073 displacement reaction Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 235000012054 meals Nutrition 0.000 description 1
- 230000004044 response Effects 0.000 description 1
Images
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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
-
- 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
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
Abstract
The embodiment of the application provides an auditing system and electronic equipment for a television station, wherein the system comprises: the system comprises an online auditing module, an intelligent file access module, a reimbursement module, a risk early warning module and a data analysis module. By integrating internal audit cooperation, software and hardware combination, bill identification, risk early warning and data analysis into a whole, the management of the whole life cycle from acquisition, conversion, integration and collection of audit data to final calling analysis is realized, the integration, systematicness, flexibility and implementation controllability are stronger, and the working mode of a television station can be met.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to an auditing system and an electronic device for a television station.
Background
The television station as a media leading enterprise plays a very important role in spreading news program information, and is in the leading position in the aspects of new technology, new equipment and the like. The purchasing mode around news programs is various, the demand is complex, the service mode is special, and the related capital scale is huge, which brings great difficulty to the traditional paper data auditing work.
Currently, an auditing system mainly based on an Enterprise Resource Planning (ERP) system in the market generally analyzes based on financial data, and the auditing range of a television station is too wide to meet the working mode of the television station.
Disclosure of Invention
The embodiment of the application provides an auditing system and electronic equipment for a television station, which can effectively solve the problem that the auditing system cannot meet the working mode of the television station.
According to a first aspect of embodiments of the present application, there is provided an auditing system for a television station, the auditing system comprising: the system comprises an online auditing module, an intelligent file access module, a reimbursement module, a risk early warning module and a data analysis module; the on-line auditing module is used for generating a task according to the received filling information, controlling the flow of the task and displaying the flow of the task; the intelligent file access module is used for controlling intelligent access of the physical files generated by the tasks through an intelligent file cabinet; the reimbursement module is used for identifying characters in the bill picture and taking the identified characters as the filling information when the task is the reimbursement task; the risk early warning module is used for carrying out risk monitoring on the filled information and generating early warning information when the risk is monitored; and the data analysis module is used for acquiring keywords and outputting an analysis result corresponding to the keywords according to the keywords.
According to a second aspect of embodiments of the present application, there is provided an electronic device including the auditing system for television stations provided by the first aspect.
The auditing system for the television station provided by the embodiment of the application comprises an on-line auditing module, an intelligent file access module, a reimbursement module, a risk early warning module and a data analysis module; the on-line auditing module is used for generating a task according to the received filling information, controlling the flow of the task and displaying the flow of the task; the intelligent file access module is used for controlling intelligent access of the physical files generated by the tasks through an intelligent file cabinet; the reimbursement module is used for identifying characters in the bill picture and taking the identified characters as the filling information when the task is the reimbursement task; the risk early warning module is used for carrying out risk monitoring on the filled information and generating early warning information when the risk is monitored; and the data analysis module is used for acquiring keywords and outputting an analysis result corresponding to the keywords according to the keywords. By integrating internal audit cooperation, software and hardware combination, bill identification, risk early warning and data analysis into a whole, the management of the whole life cycle from acquisition, conversion, integration and collection of audit data to final calling analysis is realized, the integration, systematicness, flexibility and implementation controllability are stronger, and the working mode of a television station can be met.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a schematic structural diagram of an auditing system for a television station according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of an auditing system for a television station according to another embodiment of the present application;
FIG. 3 is a schematic diagram illustrating the operation of a sub-module of a workflow engine according to an embodiment of the present application;
FIG. 4 is a diagram illustrating the progress of task execution at each node according to an embodiment of the present disclosure;
FIG. 5 is a schematic diagram illustrating a usage of an intelligent file cabinet according to an embodiment of the present application;
FIG. 6 is a schematic diagram illustrating the generation of ticket information from a ticket picture according to an embodiment of the present application;
fig. 7 is a block diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Auditing is typically an economic oversight based on the analysis of financial data. In the audit of the television station, the television station is taken as a media leading enterprise, plays a very important role in spreading news program information, and is in the leading position in the aspects of new technology, new equipment and the like. The purchasing mode around news programs is various, the demand is complex, the service mode is special, and the related capital scale is huge, which brings great difficulty to the traditional paper data auditing work.
In the daily audit of a television station, the coverage is wide, and the efficiency of auditing a large amount of paper materials is low. The auditing result is difficult to store and retrieve, and the response speed is slow when statistics or retrieval is needed. An auditing system based on an Enterprise Resource Planning (ERP) system in the current market is generally analyzed based on financial data, the auditing range of a television station is too extensive, and the auditing system belongs to post-audit and cannot meet the working mode of auditing in the event of the television station. The post-audit refers to analyzing the related data of the items to be audited after the items are finished. In a television station, in-service audit is usually performed, and in-service audit usually refers to the condition that after a purchase result is confirmed, process audit is carried out before a formal contract is signed, and the whole process of examination and approval of a supervision project and the whole process of purchase follow a disciplinary method.
In view of the above problems, an embodiment of the present application provides an auditing system and method for a television station, where the auditing system includes: the system comprises an online auditing module, an intelligent file access module, a reimbursement module, a risk early warning module and a data analysis module; the on-line auditing module is used for generating a task according to the received filling information, controlling the flow of the task and displaying the flow of the task; the intelligent file access module is used for controlling intelligent access of the physical files generated by the tasks through an intelligent file cabinet; the reimbursement module is used for identifying characters in the bill picture and taking the identified characters as the filling information when the task is the reimbursement task; the risk early warning module is used for carrying out risk monitoring on the filled information and generating early warning information when the risk is monitored; and the data analysis module is used for acquiring keywords and outputting an analysis result corresponding to the keywords according to the keywords. By integrating internal audit cooperation, software and hardware combination, bill identification, risk early warning and data analysis into a whole, the management of the whole life cycle from acquisition, conversion, integration and collection of audit data to final calling analysis is realized, the integration, systematicness, flexibility and implementation controllability are stronger, and the working mode of a television station can be met.
The scheme in the embodiment of the present application may be implemented by using various computer languages, for example, object-oriented programming language Java and transliterated scripting language JavaScript, Python, and the like.
In order to make the technical solutions and advantages of the embodiments of the present application more apparent, the following further detailed description of the exemplary embodiments of the present application with reference to the accompanying drawings makes it clear that the described embodiments are only a part of the embodiments of the present application, and are not exhaustive of all embodiments. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
Referring to fig. 1, the present application provides a schematic structural diagram of an auditing system for a television station. The auditing system 10 includes an online auditing module 100, an intelligent file access module 200, an reimbursement module 300, a risk pre-warning module 400, and a data analysis module 500.
The on-line auditing module 100 is configured to generate a task according to the received filling information, control a flow of the task, and display the flow of the task. The intelligent file access module 200 is used for controlling the intelligent access of the physical files generated by the tasks through an intelligent file cabinet. The reimbursement module 300 is configured to identify the text in the bill picture and use the identified text as the filling information when the task is a reimbursement task. The risk early warning module 400 is configured to perform risk monitoring on the filled information, and generate early warning information when a risk is monitored. The data analysis module 500 is configured to obtain a keyword, and output an analysis result corresponding to the keyword according to the keyword.
Referring to fig. 2, the present application provides a schematic structural diagram of another auditing system for television stations. The online audit module 100 includes a workflow engine sub-module 110 and a cross-track flow presentation sub-module 120. The workflow engine sub-module 110 and the cross-track flow display sub-module 120 jointly realize the functions of generating a task according to the received filling information, controlling the flow of the task and displaying the flow of the task.
The workflow engine sub-module 110 is configured to receive the filling information, generate a task according to the filling information, and control a flow of the task in a parallel branch mode, a synchronous mode, or a sequential mode. The cross-track flow display sub-module 120 is configured to display the execution progress of the task in each node in a cross-role manner.
Specifically, the workflow engine sub-module 110 may control the flow of the task in one or more of a parallel branch mode, a synchronous mode, and a sequential mode. The parallel branch mode is used for distributing the task to a plurality of nodes and executing the task in parallel through the nodes, the synchronous mode is used for merging the task execution results of the nodes to the next node and continuing to execute the task through the next node, and the sequence mode is used for controlling the task to be executed according to a preset node sequence. Referring to fig. 3, a schematic diagram of the operation of the workflow engine submodule is shown.
Firstly, providing a filling inlet, inputting filling information by a user based on the filling inlet, creating a task after acquiring the filling information, wherein the task firstly enters a primary examination node and a consultation node, and the task can be distributed to a plurality of nodes in a parallel branch mode and executed by the plurality of nodes in parallel, namely the task is distributed to a department 1 and a department 2 at the same time. After each department 1 and 2 consults and replies, the execution results of the tasks of the department 1 and 2 are collected by using a synchronous mode and merged into a node task, namely, a report is replied according to the consultation of the department 1 and the department 2, the task is transmitted to a leading examination and approval node, and the leading examination and approval node then sends the node to a delivery file cabinet node. When the leader examines and approves the node and delivers the filing cabinet node, the sequence mode is used for strictly controlling the sequence of the node, namely the document cabinet node can be delivered only after the leader examines and approves the node.
The cross-track process display sub-module 120 is configured to display the execution progress of the task at each node in a cross-role manner. When the display is carried out, the displacement paths of the nodes can be displayed by utilizing the coordinates to form lines and other graphs, so that the execution progress of the task at each node can be intuitively known. In some embodiments, under different nodes, multiple different roles may participate in the processing of the task, and the execution progress of the task at each node may be shown across roles. Referring to FIG. 4, a diagram illustrating the progress of the execution of a task at each node is shown. Specifically, when the execution progress of the task at each node is shown, a canvas mapping technique may be adopted, where canvas is a two-dimensional network, and takes the upper left corner (0,0) of the canvas as the origin of coordinates, the x axis extends to the right, and the y axis extends downward. When the graph is produced, the graph can be drawn by a drawing method provided by a canvas rendering context2D object: for example, drawing a circle by arc (x, y, r, sAngle, eAngle, counterclock wise) method, drawing a line by stroke (), filling a current drawing (mainly color filling) by file (), and the like; and finally, realizing the display of the execution progress according to the state of the task at each node.
The intelligent file access module 200 is configured to control intelligent access to the physical files generated by the tasks through an intelligent file cabinet. The final node of each task is a delivery file cabinet node, the delivered files are physical files generated by the task, such as invoices, examination and approval tickets and other physical files which cannot be electronized, the intelligent file cabinet is a cabinet with an intelligent file system, a plurality of boxes are arranged on the cabinet, and each box can store the physical files.
When receiving a delivery request of a user, the intelligent file access module 200 may acquire state information of each box in the intelligent file cabinet, and display the state information after view rendering to indicate the user to select a target box; and closing the target box body, receiving the state identification of the target box body, dynamically generating an unpacking password, and sending the unpacking password to a user so as to release the physical file to the intelligent file cabinet. Specifically, the user sending the unpacking password may be preset in the task node, and the sending mode may be a short message or an in-system prompt, which is not specifically limited herein.
When the physical file needs to be taken out, a user can open the target box body by using the unpacking password, and when the user opens the target box body by using the unpacking password, the intelligent file access module 200 can acquire the state identifier of the target box body and update the state of the target box body according to the state identifier. So that whether the physical file is taken away or not can be clearly known.
Referring specifically to fig. 5, a schematic diagram of the manner of use of the intelligent file cabinet is shown. An intelligent file system exists in the intelligent file cabinet, the intelligent file access module 200 is communicated with the intelligent file cabinet through the intelligent file system, specifically, the intelligent file system and the intelligent file access module 200 can be communicated in a webService interface mode, and the data format is a json character string.
When a physical file needs to be put into the intelligent file cabinet, a delivery request initiated by a user can be received, and when the intelligent file access module 200 receives the delivery request, a findBox () method can be called to obtain the state information of each box body in the intelligent file cabinet, and view rendering is performed through a view parser viewReserver. The state information of the box body can comprise an idle state and an occupied state, the box body can be used for throwing the physical file when in the idle state, and the box body cannot be used for throwing the physical file when in the occupied state.
The intelligent file access module 200 can display the status information of each box in the intelligent file cabinet, specifically, the idle box and the occupied box can be displayed in different colors, or only the idle box is displayed, and the like, and can be specifically set according to actual needs.
The user can select the target box according to the displayed result, when the target box is selected, the corresponding target box in the intelligent file cabinet can be controlled to be opened, and after the user finishes storing the physical files, the target box is closed. When the target box body is closed, calling an openBoxLock () method, and transferring parameters to uniquely identify key and box number of each box body. After receiving the call instruction, the intelligent file system updates the state of the target box body to be occupied, and generates an unpacking password to return to the intelligent file access module 200. After receiving the unpacking password, the intelligent file access module 200 firstly updates the delivery data state, simultaneously calls a short message interface, automatically reminds a pickup user of a short message, and the delivery data state can comprise delivered, undelivered and picked, and after delivery is completed, the delivery data state can be updated to be delivered. When a user takes a file, the user inputs an unpacking password through the intelligent file cabinet, triggers an open () method of the intelligent file cabinet and opens a target box body. The method comprises the steps that when a target box is closed after picking, a key method of an auditing system Sjservice. quJean (key) is called through an interface, a Dao layer obtains data matched with a parameter key from a database through hibernate and returns the data to a Service layer, the Service layer updates the state of a data set one by one according to a returned result data set list < bean >, wherein the state of the data set refers to an updated delivery state, and at the moment, a real object file in the target box is taken out, so that the delivery state can be updated to be picked. Therefore, the physical file can be received without time limitation, and a receiver can receive data by using the unpacking password at any time, so that the labor intensity of workers is reduced, the physical file receiving efficiency is greatly improved, the auditing work period is shortened, and the management is easier and faster.
The reimbursement module 300 is used for acquiring a bill picture uploaded by a user; using an Optical Character Recognition (OCR) technology to recognize characters in the ticket image, and using the recognized characters as the filling information, specifically referring to fig. 6, a schematic diagram of generating the ticket information according to the ticket image is shown. It can be understood that the OCR technology recognizes the bill picture, the recognized words are bill information, and the bill information can be used as the filling information of the reimbursement task. By using the OCR, the complicated input work of a user can be reduced, the entry error rate is reduced, and the working efficiency can be effectively improved.
The risk early warning module 400 is further configured to calculate whether the filled information meets a target condition according to a target rule; if the filling information accords with the target condition, generating a task according to the filling information and early warning information; and if the filling information does not accord with the target condition, generating a task according to the filling information.
Specifically, when the function of the risk early warning module 400 is implemented, a spring + springmvc + hibernate frame may be adopted, and the specific steps are as follows:
acquiring filled information of a user; after the dispatcher servlet obtains the request of the user, the front-end controller calls a handler mapping. And the HandlerMapping finds the processor with the built-in early warning rule in the system according to the annotation and returns the processor to the Dispatcterservlet. The Dispatcterservlet calls a HandlerAdapter processor adapter, after adaptation, calls a Controller corresponding to a built-in early warning rule of the system, and acquires related information through request. The Dao layer obtains historical information related to the ticket from the database through hibernate. And a Service layer corresponding to the early warning rule is built in the system. And calling the historical information acquired by the Dao layer, and calculating to obtain a result of whether the filled information meets the built-in early warning rule of the system. And calling a Service corresponding to the built-in early warning rule of the system by the Controller to package the inquired result set whether the result set conforms to the built-in early warning rule of the system into a set list < bean >, storing the set list < bean > into a request, and returning to ModelandView. And the HandlerAdap transmits a controller execution result ModelAndView corresponding to the built-in early warning rule of the system to the View resolver ViewReslover through the Dispatcterservlet. And returning the specific View after the ViewReslovator is analyzed, rendering the View by the DispatcterServlet according to the View, and displaying whether the inquired result meets the built-in early warning rule result of the system or not by adopting the dataTable of jQuery on the JSP. The DispatcterServlet responds to the user and presents the result to the user.
In some embodiments, the risk pre-warning module 400 may determine that a filling type corresponding to the filling information is a target type; and inquiring an information table according to the target type, and determining a target rule and a target condition corresponding to the target type, wherein the information table comprises a preset rule and a preset condition corresponding to the filling type.
When determining the filling type corresponding to the filling information, the filling type may be selected when the user uploads the filling information. For example, when the user needs reimbursement, the user may select the type of reimbursement as reimbursement and fill in information. The determination can also be determined according to keywords in the filling information, for example, if there is "purchase" in the filling information, the filling type of the filling information can be considered as purchase. The task generated corresponding to the filled-in type of reimbursement may be an reimbursement task, and the task generated corresponding to the filled-in type of procurement may be a procurement task.
After the filling type corresponding to the filling information is determined, the filling type can be directly used as a target type, and a target rule and a target condition corresponding to the target type are determined from an information table based on the target type, wherein the information table comprises a preset rule and a preset condition corresponding to the filling type.
In some embodiments, when determining that the filling type is reimbursement, the reimbursement type may be further determined, for example, the reimbursement type may be meal fee, transportation fee, and the information table may further include preset rules and preset conditions corresponding to the reimbursement type. After determining the reimbursement type, a corresponding preset rule and a corresponding preset condition may be determined from the signal table based on the reimbursement type.
If the fact that the filling information meets the target condition is determined, the filling information indicates that unreal data or abnormal data possibly exists in the filling information, early warning information can be generated, a task is generated according to the filling information and the early warning information, and when the task reaches a subsequent node, a corresponding contractor is reminded. The presentation form of the early warning information may be various, and may be red in color, or may be provided with an early warning identifier, and the like, and is not specifically limited herein.
If the filled information is determined to meet the target condition, the filled information is normal information without unreal data, and therefore the task can be directly generated.
The data analysis module 500 is configured to obtain data of the auditing system and data of other systems of the television station as basic data; obtaining an analysis type and a keyword selected by a user, wherein the analysis type comprises inquiry and statistics; processing the basic data according to the analysis type and the keywords to obtain an analysis result; and displaying the analysis result.
Specifically, the data resource layer can call data of the auditing system and data of other systems of the television station, and the called data is used as basic data. The other systems of the television station may refer to systems such as an OA system of the television station.
The data resource layer can transmit the basic data to an analysis supporting platform, and the analysis supporting platform processes the basic data according to the analysis type selected by the user and the keywords to obtain an analysis result. Wherein the analysis type may be query, statistics, and the like. Specifically, when the analysis type is query, the obtained analysis result may be all data related to the keyword, and when the analysis type is statistics, the statistical result may be obtained by performing statistics on the data related to the keyword. Finally, the analysis result can be dynamically displayed in a graph form; the method provides a strong analysis capability and intuitive data display for the user, and provides a powerful data support for business decision.
The audit system for the television station provided by the embodiment of the application comprises: the system comprises an online auditing module, an intelligent file access module, a reimbursement module, a risk early warning module and a data analysis module; the on-line auditing module is used for generating a task according to the received filling information, controlling the flow of the task and displaying the flow of the task; the intelligent file access module is used for controlling intelligent access of the physical files generated by the tasks through an intelligent file cabinet; the reimbursement module is used for identifying characters in the bill picture and taking the identified characters as the filling information when the task is the reimbursement task; the risk early warning module is used for carrying out risk monitoring on the filled information and generating early warning information when the risk is monitored; and the data analysis module is used for acquiring keywords and outputting an analysis result corresponding to the keywords according to the keywords. By integrating internal audit cooperation, software and hardware combination, bill identification, risk early warning and data analysis into a whole, the management of the whole life cycle from acquisition, conversion, integration and collection of audit data to final calling analysis is realized, the integration, systematicness, flexibility and implementation controllability are stronger, and the working mode of a television station can be met.
Referring to fig. 7, an embodiment of the present application provides a block diagram of an electronic device, where the electronic device 600 includes a processor 610, a memory 620, and one or more applications, where the one or more applications are stored in the memory 620 and configured to be executed by the one or more processors 610, and the one or more programs are configured to perform the functions of the modules of the auditing system for television stations.
The electronic device 600 may be a terminal device capable of running an application, such as a smart phone or a tablet computer. The electronic device 600 in the present application may include one or more of the following components: a processor 610, a memory 620, and one or more applications, wherein the one or more applications may be stored in the memory 620 and configured to be executed by the one or more processors 610, the one or more programs configured to perform the methods as described in the aforementioned method embodiments.
The processor 610 may include one or more processing cores. The processor 610 interfaces with various components throughout the electronic device 600 using various interfaces and circuitry to perform various functions of the electronic device 600 and process data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 620 and invoking data stored in the memory 620. Alternatively, the processor 610 may be implemented in hardware using at least one of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), and Programmable Logic Array (PLA). The processor 610 may integrate one or more of a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), a modem, and the like. Wherein, the CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing display content; the modem is used to handle wireless communications. It is understood that the modem may not be integrated into the processor 610, but may be implemented by a communication chip.
The Memory 620 may include a Random Access Memory (RAM) or a Read-Only Memory (Read-Only Memory). The memory 620 may be used to store instructions, programs, code sets, or instruction sets. The memory 620 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for implementing at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing various method embodiments described below, and the like. The data storage area may also store data created during use by the electronic device 600 (e.g., phone books, audio-visual data, chat log data), and so forth.
The electronic equipment that this application embodiment provided can install the audit system that is used for the TV station, and this system includes: the on-line auditing module is used for generating a task according to the received filling information, controlling the flow of the task and displaying the flow of the task; the intelligent file access module is used for realizing intelligent access of the physical files through the intelligent file cabinet; the reimbursement module is used for identifying characters in the bill picture and generating bill information according to the identified characters; the risk early warning module is used for acquiring the filling information, carrying out risk monitoring on the filling information and generating early warning information when a risk is detected; and the data analysis module is used for outputting an analysis result corresponding to the keyword according to the input keyword. By integrating internal audit cooperation, software and hardware combination, bill identification, risk early warning and data analysis into a whole, the management of the whole life cycle from acquisition, conversion, integration and collection of audit data to final call analysis is stronger in integration, systematicness, flexibility and implementation control.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While the preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.
Claims (10)
1. An auditing system for a television station is characterized by comprising an on-line auditing module, an intelligent file access module, a reimbursement module, a risk early warning module and a data analysis module;
the on-line auditing module is used for generating a task according to the received filling information, controlling the flow of the task and displaying the flow of the task;
the intelligent file access module is used for controlling intelligent access of the physical files generated by the tasks through an intelligent file cabinet;
the reimbursement module is used for identifying characters in the bill picture and taking the identified characters as the filling information when the task is the reimbursement task;
the risk early warning module is used for carrying out risk monitoring on the filled information and generating early warning information when the risk is monitored;
and the data analysis module is used for acquiring keywords and outputting an analysis result corresponding to the keywords according to the keywords.
2. The system of claim 1, wherein the online audit module further comprises:
the workflow engine submodule is used for receiving filling information, generating a task according to the filling information, and controlling the flow of the task in a parallel branch mode, a synchronous mode and a sequential mode, wherein the parallel branch mode is used for distributing the task to a plurality of nodes and executing the task in parallel through the nodes, the synchronous mode is used for merging the execution results of the tasks by the nodes to the next node and continuously executing the task through the next node, and the sequential mode is used for controlling the task to be executed according to a preset node sequence;
and the cross-track circulation display submodule is used for displaying the execution progress of the task at each node in a cross-role mode.
3. The system of claim 1, wherein the smart file access module is further configured to:
when a delivery request of a user is received, acquiring state information of each box body in the intelligent file cabinet, and displaying after view rendering to indicate the user to select a target box body;
and when the target box body is closed, receiving the state identification of the target box body, dynamically generating an unpacking password, and sending the unpacking password to a user.
4. The system of claim 3, wherein the smart file access module is further configured to:
and when the user opens the target box body by using the box opening password, acquiring the state identifier of the target box body, and updating the state of the target box body according to the state identifier.
5. The system of claim 3 or 4, wherein the intelligent file access module communicates with the intelligent file cabinet in a webService interface mode, and the data format is json character strings.
6. The system of claim 1, wherein the reimbursement module is further configured to:
acquiring a bill picture uploaded by a user;
and identifying characters in the bill picture by using an optical character identification technology, and taking the identified characters as filling information.
7. The system of claim 1, wherein the risk pre-warning module is further configured to:
calculating whether the filled information meets the target condition according to the target rule;
if the filling information accords with the target condition, generating a task according to the filling information and early warning information;
and if the filling information does not accord with the target condition, generating a task according to the filling information.
8. The system of claim 7, wherein before calculating whether the filled information meets the target condition according to the target rule, the risk pre-warning module is further configured to:
determining a filling type corresponding to the filling information as a target type;
and inquiring an information table according to the target type, and determining a target rule and a target condition corresponding to the target type, wherein the information table comprises a preset rule and a preset condition corresponding to the filling type.
9. The system of claim 1, the data analysis module further to:
acquiring data of the auditing system and data of other systems of the television station as basic data;
obtaining an analysis type and a keyword selected by a user, wherein the analysis type comprises inquiry and statistics;
processing the basic data according to the analysis type and the keywords to obtain an analysis result;
and displaying the analysis result.
10. An electronic device comprising an auditing system for a television station according to any of claims 1-9.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110700575.4A CN113408912B (en) | 2021-06-23 | 2021-06-23 | Audit system for television station and electronic equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110700575.4A CN113408912B (en) | 2021-06-23 | 2021-06-23 | Audit system for television station and electronic equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113408912A true CN113408912A (en) | 2021-09-17 |
| CN113408912B CN113408912B (en) | 2023-12-19 |
Family
ID=77682714
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110700575.4A Active CN113408912B (en) | 2021-06-23 | 2021-06-23 | Audit system for television station and electronic equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113408912B (en) |
Citations (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004133914A (en) * | 2003-09-04 | 2004-04-30 | Intertrust Technologies Corp | Credit infrastructure support system, safe electronic trading, electronic commerce, method and technique for controlling and automating trading process, distributed computation and right management |
| KR20070043353A (en) * | 2005-10-21 | 2007-04-25 | 유아이넷주식회사 | Method for processing document of multi user cowork at the same real time on web based system |
| WO2009154484A2 (en) * | 2008-06-20 | 2009-12-23 | Business Intelligence Solutions Safe B.V. | Methods, apparatus and systems for data visualization and related applications |
| CN101996346A (en) * | 2009-08-13 | 2011-03-30 | 宁波博一格数码科技有限公司 | Media content management system |
| CN102194151A (en) * | 2010-03-12 | 2011-09-21 | 新奥特（北京）视频技术有限公司 | Flow engine system for auditing service flows |
| CN202882649U (en) * | 2012-09-13 | 2013-04-17 | 北京立思辰计算机技术有限公司 | Intelligent batch file recycling device |
| JP2016071725A (en) * | 2014-09-30 | 2016-05-09 | 富士通株式会社 | Workflow control program, workflow control method and information processing unit |
| CN108062662A (en) * | 2018-01-02 | 2018-05-22 | 合中（珠海）数字技术有限公司 | A kind of entertainment intermediate item manages system |
| CN109658061A (en) * | 2018-12-13 | 2019-04-19 | 安徽天勤盛创信息科技股份有限公司 | A kind of audit comprehensive analysis platform |
| CN109741009A (en) * | 2018-12-14 | 2019-05-10 | 国网电子商务有限公司 | A kind of expense reimbursement management method and device |
| CN110264288A (en) * | 2019-05-20 | 2019-09-20 | 深圳壹账通智能科技有限公司 | Data processing method and relevant apparatus based on information discriminating technology |
| US20200134519A1 (en) * | 2018-10-26 | 2020-04-30 | Pande RAKESH | Risk management system |
| CN111191247A (en) * | 2019-12-26 | 2020-05-22 | 深圳昂楷科技有限公司 | Database security audit system |
| CN111695818A (en) * | 2020-06-15 | 2020-09-22 | 浙江师范大学 | Intelligent manufacturing service flow longitudinal integration method under industrial internet environment |
| CN111932113A (en) * | 2020-08-10 | 2020-11-13 | 深圳博沃智慧科技有限公司 | Environment supervision and management method, platform and storage medium |
| CN112001586A (en) * | 2020-07-16 | 2020-11-27 | 航天科工网络信息发展有限公司 | Enterprise networking big data audit risk control architecture based on block chain consensus mechanism |
| CN112039968A (en) * | 2020-08-25 | 2020-12-04 | 中央广播电视总台 | Data processing system |
| CN112070451A (en) * | 2020-07-15 | 2020-12-11 | 速聚(福建)科技有限公司 | Intelligent approval method and platform |
| CN213188678U (en) * | 2020-04-13 | 2021-05-14 | 北京融安汇智科技有限公司 | Heap intelligence filing cabinet and intelligent file storage system |
| CN113011959A (en) * | 2021-05-24 | 2021-06-22 | 国能大渡河大数据服务有限公司 | Seven-expense intelligent auditing system and use method thereof |
-
2021
- 2021-06-23 CN CN202110700575.4A patent/CN113408912B/en active Active
Patent Citations (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004133914A (en) * | 2003-09-04 | 2004-04-30 | Intertrust Technologies Corp | Credit infrastructure support system, safe electronic trading, electronic commerce, method and technique for controlling and automating trading process, distributed computation and right management |
| KR20070043353A (en) * | 2005-10-21 | 2007-04-25 | 유아이넷주식회사 | Method for processing document of multi user cowork at the same real time on web based system |
| WO2009154484A2 (en) * | 2008-06-20 | 2009-12-23 | Business Intelligence Solutions Safe B.V. | Methods, apparatus and systems for data visualization and related applications |
| CN101996346A (en) * | 2009-08-13 | 2011-03-30 | 宁波博一格数码科技有限公司 | Media content management system |
| CN102194151A (en) * | 2010-03-12 | 2011-09-21 | 新奥特（北京）视频技术有限公司 | Flow engine system for auditing service flows |
| CN202882649U (en) * | 2012-09-13 | 2013-04-17 | 北京立思辰计算机技术有限公司 | Intelligent batch file recycling device |
| JP2016071725A (en) * | 2014-09-30 | 2016-05-09 | 富士通株式会社 | Workflow control program, workflow control method and information processing unit |
| CN108062662A (en) * | 2018-01-02 | 2018-05-22 | 合中（珠海）数字技术有限公司 | A kind of entertainment intermediate item manages system |
| US20200134519A1 (en) * | 2018-10-26 | 2020-04-30 | Pande RAKESH | Risk management system |
| CN109658061A (en) * | 2018-12-13 | 2019-04-19 | 安徽天勤盛创信息科技股份有限公司 | A kind of audit comprehensive analysis platform |
| CN109741009A (en) * | 2018-12-14 | 2019-05-10 | 国网电子商务有限公司 | A kind of expense reimbursement management method and device |
| CN110264288A (en) * | 2019-05-20 | 2019-09-20 | 深圳壹账通智能科技有限公司 | Data processing method and relevant apparatus based on information discriminating technology |
| CN111191247A (en) * | 2019-12-26 | 2020-05-22 | 深圳昂楷科技有限公司 | Database security audit system |
| CN213188678U (en) * | 2020-04-13 | 2021-05-14 | 北京融安汇智科技有限公司 | Heap intelligence filing cabinet and intelligent file storage system |
| CN111695818A (en) * | 2020-06-15 | 2020-09-22 | 浙江师范大学 | Intelligent manufacturing service flow longitudinal integration method under industrial internet environment |
| CN112070451A (en) * | 2020-07-15 | 2020-12-11 | 速聚(福建)科技有限公司 | Intelligent approval method and platform |
| CN112001586A (en) * | 2020-07-16 | 2020-11-27 | 航天科工网络信息发展有限公司 | Enterprise networking big data audit risk control architecture based on block chain consensus mechanism |
| CN111932113A (en) * | 2020-08-10 | 2020-11-13 | 深圳博沃智慧科技有限公司 | Environment supervision and management method, platform and storage medium |
| CN112039968A (en) * | 2020-08-25 | 2020-12-04 | 中央广播电视总台 | Data processing system |
| CN113011959A (en) * | 2021-05-24 | 2021-06-22 | 国能大渡河大数据服务有限公司 | Seven-expense intelligent auditing system and use method thereof |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113408912B (en) | 2023-12-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110443552B (en) | Method and device for automatically transmitting product main data information | |
| CN110929039A (en) | Data processing method, device, equipment and storage medium | |
| CN111552728B (en) | Data processing method, system, terminal and storage medium of block chain | |
| CN104317839A (en) | Method and device for generating report form template | |
| CN106202284A (en) | The system and method for questionnaire is quickly collected in a kind of mobile phone games | |
| CN111435482A (en) | Outbound model construction method, outbound method, device and storage medium | |
| CN112416369B (en) | Intelligent deployment method oriented to heterogeneous mixed environment | |
| CN109002470A (en) | Knowledge mapping construction method and device, client | |
| CN112434501A (en) | Work order intelligent generation method and device, electronic equipment and medium | |
| CN105868956A (en) | Data processing method and device | |
| CN105677745B (en) | A kind of self-service data query system of Universal efficient and implementation method | |
| CN110909888A (en) | Method, device and equipment for constructing generic decision tree and readable storage medium | |
| CN109308298B (en) | Engineering project integrated management system | |
| CN113408912B (en) | Audit system for television station and electronic equipment | |
| CN110427388A (en) | A kind of data processing method and device, storage medium | |
| CN115509765A (en) | Super-fusion cloud computing method and system, computer equipment and storage medium | |
| CN115545976A (en) | Cross-border trademark registration method, system, device and computer readable storage medium | |
| CN112507725B (en) | Static publishing method, device, equipment and storage medium of financial information | |
| CN114721344A (en) | Intelligent decision method and system based on digital twin DaaS platform | |
| CN115392501A (en) | Data acquisition method and device, electronic equipment and storage medium | |
| CN111427900B (en) | Label library updating method, device, equipment and readable storage medium | |
| CN114170004A (en) | Scoring decision-making method, device, equipment and storage medium based on multiple events | |
| CN115437757A (en) | Scheduling method, system, server and computer readable storage medium | |
| Kamil et al. | Design of location-based waste collecting on enviro andalas waste bank | |
| CN117591487B (en) | Financial document sharing method and related device |
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 |