CN116503185A - Document sampling analysis method and device, storage medium and electronic equipment - Google Patents
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Abstract
The embodiment of the application provides a bill sampling analysis method, a device, a storage medium and electronic equipment, wherein the method comprises the following steps: acquiring a receipt sampling time period; determining the total number of the bills respectively generated in the bill sampling time period under each management center of each banking institution according to the bill master library of the financial sharing center system; acquiring document sampling proportion and service scene coefficients corresponding to each service scene under each management center; calculating the bill sampling number of each service scene under each management center according to the total number of the bills, the bill sampling proportion and the service scene coefficient; determining a bill storage area of each management center under each banking institution from a bill master library, and sampling the bills of each service scene in the bill sampling time period from each bill storage area according to the bill sampling number to obtain a sampled bill; and analyzing the sampling bill and outputting an analysis result. The sampling bill obtained by the embodiment of the application accords with the expectation, and the service scene is not missed.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a document sampling analysis method, device, medium, and electronic device.
Background
The sampling of the operation receipts by the financial sharing center is always a key point and a difficult point, and is an important basis for performance assessment of all operators in the financial sharing center. At present, sampling a bill depends on manual intervention too much, and the obtained sampled bill cannot well reflect the actual situation (for example, the number of samples does not accord with the expectation, important business scenes are not highlighted, scene omission exists, and the like).
Accordingly, the prior art has drawbacks.
Disclosure of Invention
The embodiment of the application provides a bill sampling analysis method, a device, a storage medium and electronic equipment, which can ensure that the obtained sampling bill accords with the expectation, important business scenes are prominent, and the business scenes are not missed.
The embodiment of the application provides a bill sampling analysis method, which is applied to a financial sharing center system of a plurality of banking institutions, wherein at least one management center is arranged under each banking institution, and the financial sharing center system stores bills under at least one business scene generated by each management center, and the method comprises the following steps:
acquiring a receipt sampling time period;
determining the total number of the bills respectively generated in the bill sampling time period under each management center of each banking institution according to the bill master library of the financial sharing center system;
Acquiring document sampling proportion and service scene coefficients corresponding to each service scene under each management center;
calculating the bill sampling number of each service scene under each management center according to the bill total number, the bill sampling proportion and the service scene coefficient;
determining bill storage areas of management centers under all banking institutions from the bill master library, and sampling the bills of all business scenes in the bill sampling time period from the bill storage areas according to the bill sampling number to obtain sampling bills;
and analyzing the sampling bill and outputting an analysis result.
In the document sampling analysis method of the embodiment of the present application, the obtaining the document sampling proportion and the service scene coefficient corresponding to each service scene under each management center includes:
acquiring the volume proportion of documents of each service scene under each management center, wherein the volume proportion is occupied by the documents of each service scene under each management center;
multiplying the preset sampling total proportion by the volume proportion to obtain document sampling proportion corresponding to each service scene under each management center;
acquiring importance level of each service scene, and acquiring a history analysis result obtained when sampling a history document of each service scene;
And setting a business scene coefficient of each business scene based on the importance level and the historical analysis result.
In the document sampling analysis method according to the embodiment of the present application, setting a service scene coefficient of each service scene based on the importance level and the history analysis result includes:
matching the importance level with a plurality of preset importance levels to obtain a target preset importance level corresponding to the importance level;
acquiring a grade scene coefficient corresponding to the target preset importance grade;
acquiring the proportion of the historical documents with problems in the historical analysis results;
and setting the business scene coefficient of each business scene based on the grade scene coefficient and the proportion.
In the document sampling analysis method according to the embodiment of the present application, the higher the target preset importance level is, the higher the level scene coefficient corresponding to the target preset importance level is, the higher the level scene coefficient and the ratio are, and the higher the service scene coefficient is.
In the document sampling analysis method of the embodiment of the present application, the calculating the document sampling number of each service scene under each management center according to the total number of documents, the document sampling proportion and the service scene coefficient includes:
And multiplying the total number of the receipts, the receipt sampling proportion and the service scene coefficient to obtain the receipt sampling number of each service scene under each management center.
In the document sampling analysis method according to the embodiment of the present application, before the document sampling period is acquired, the method further includes:
acquiring a bill flowing into the bill master library;
acquiring a banking institution and a management center to which each bill belongs, and acquiring a bill sampling time period of each bill;
and storing the bills in different bill storage areas based on the banking institution, the management center and the bill sampling time period, wherein the banking institution, the management center and the bill sampling time period to which the bills in the same bill storage area belong are the same.
In the document sampling analysis method according to the embodiment of the present application, the storing the documents in different document storage areas based on the banking institution, the management center and the document sampling time period, wherein the banking institution, the management center and the document sampling time period to which the documents in the same document storage area belong are the same, includes:
dividing the bills according to a banking institution and a management center to obtain at least one batch of first bills, wherein the banking institution and the management center of the same batch of first bills are the same;
Acquiring a bill sampling time period of each bill, and dividing each batch of first bills according to the bill sampling time period to obtain at least one batch of second bills, wherein the bill sampling time periods of the same batch of second bills are the same;
and respectively storing the second documents of different batches in different document storage areas.
The embodiment of the application also provides a bill sampling analysis device, which comprises:
the first acquisition module is used for acquiring a bill sampling time period;
the determining module is used for determining the total number of the bills respectively generated in the bill sampling time period under each management center of each banking institution according to the bill total library of the financial sharing center system;
the second acquisition module is used for acquiring the bill sampling proportion and the service scene coefficient corresponding to each service scene under each management center;
the calculation module is used for calculating the bill sampling number of each service scene under each management center according to the bill total number, the bill sampling proportion and the service scene coefficient;
the sampling module is used for determining bill storage areas of management centers under all banking institutions from the bill master library, and sampling the bills of all business scenes in the bill sampling time period from the bill storage areas according to the bill sampling number to obtain sampled bills;
And the analysis module is used for analyzing the sampling bill and outputting an analysis result.
Embodiments of the present application also provide a computer-readable storage medium having a computer program stored therein, which when run on a computer causes the computer to perform the document sampling analysis method according to any one of the embodiments
The embodiment of the application also provides electronic equipment, which comprises a processor and a memory, wherein the memory stores a computer program, and the processor is used for executing the bill sampling analysis method according to any embodiment by calling the computer program stored in the memory.
According to the method and the device, the total number of the receipts respectively generated in the receipts sampling time period under each management center of each banking institution is determined, then the receipt sampling proportion and the service scene coefficient corresponding to each service scene under each management center are obtained, the receipt sampling number of each service scene under each management center is calculated according to the obtained receipt total number, the receipt sampling proportion and the service scene coefficient, finally the receipt storage area of each management center under each banking institution is determined from the receipt master library, the receipts of each service scene in the receipt sampling time period are sampled according to the receipt sampling number from each receipt storage area, and the sampled receipts are obtained, so that the obtained sampled receipts meet expectations, important service scenes are highlighted, and no omission exists in the service scenes.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings that are required to be used in the description of the embodiments will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained from these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a document sampling analysis method according to an embodiment of the present application.
Fig. 2 is a schematic structural diagram of a document sampling analysis device according to an embodiment of the present application.
Fig. 3 is another schematic structural diagram of a document sampling analysis device according to an embodiment of the present application.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by a person skilled in the art without any inventive effort, are intended to be within the scope of the present application based on the embodiments herein.
The embodiment of the application provides a receipt sampling analysis method which can be applied to electronic equipment.
Referring to fig. 1, fig. 1 is a schematic flow chart of a document sampling analysis method according to an embodiment of the present application. The bill sampling analysis method is applied to a financial sharing center system of a plurality of banking institutions, at least one management center is arranged under each banking institution, and the financial sharing center system stores bills under at least one business scene generated by each management center, and the method can comprise the following steps:
step 101, acquiring a receipt sampling time period.
The document sampling time period may be a month, and when the document sampling time period is a month, the document sampling time period is the month to which the date of the document belongs. For example, there are three batches of documents, and the dates of the three batches of documents belong to months of 3 months, 4 months and 5 months respectively, and then the document sampling time periods of the three batches of documents are 3 months, 4 months and 5 months respectively.
In some embodiments, before the acquiring the document sampling period, the method further includes:
acquiring a bill flowing into the bill master library;
acquiring a banking institution and a management center to which each bill belongs, and acquiring a bill sampling time period of each bill;
And storing the bills in different bill storage areas based on the banking institution, the management center and the bill sampling time period, wherein the banking institution, the management center and the bill sampling time period to which the bills in the same bill storage area belong are the same.
In some embodiments, the storing the documents in different document storage areas based on the banking institution, the management center and the document sampling time period, wherein the banking institution, the management center and the document sampling time period to which the documents in the same document storage area belong are the same, includes:
dividing the bills according to a banking institution and a management center to obtain at least one batch of first bills, wherein the banking institution and the management center of the same batch of first bills are the same;
acquiring a bill sampling time period of each bill, and dividing each batch of first bills according to the bill sampling time period to obtain at least one batch of second bills, wherein the bill sampling time periods of the same batch of second bills are the same;
and respectively storing the second documents of different batches in different document storage areas.
Step 102, determining the total number of the bills respectively generated in the bill sampling time period under each management center of each banking institution according to the bill master library of the financial sharing center system.
And step 103, acquiring the bill sampling proportion and the service scene coefficient corresponding to each service scene under each management center.
The documents in the same banking institution, the same management center and the same sampling time period may correspond to a plurality of business scenes. For example, the total number of documents in the same banking institution, the same management center and the same sampling period is 500, wherein 100 documents are documents belonging to travel fees (the business scene is the travel fees), 200 documents are documents belonging to business hospitality fees (the business scene is the business hospitality fees), 50 documents are documents belonging to business propaganda fees (the business scene is the business propaganda fees), 80 documents are documents belonging to rentals (the business scene is the rentals), and 70 documents are documents belonging to public clutter fees (the business scene is the public clutter).
In some embodiments, the obtaining the document sampling proportion and the service scene coefficient corresponding to each service scene under each management center includes:
acquiring the volume proportion of documents of each service scene under each management center, wherein the volume proportion is occupied by the documents of each service scene under each management center;
multiplying the preset sampling total proportion by the volume proportion to obtain document sampling proportion corresponding to each service scene under each management center;
Acquiring importance level of each service scene, and acquiring a history analysis result obtained when sampling a history document of each service scene;
and setting a business scene coefficient of each business scene based on the importance level and the historical analysis result.
The preset total sampling proportion is a proportion set before each sampling, for example, 10%.
The volume ratio of the receipts of each service scene under each management center is equal to the number of receipts of the service scene under the management center divided by the total number of receipts under the management center. For example, under the management center b of the banking institution a, the total number of documents in the 3 months of the document sampling period is 500, and among the 500 documents, the 100 documents with the business scene of travel fee account for 100/500=20% of the weight of the document with the business scene of travel fee.
Wherein, each business scene corresponds to an importance level. It should be noted that different business scenarios may correspond to the same importance level, or may correspond to different importance levels.
In some embodiments, the setting the service scene coefficient of each service scene based on the importance level and the historical analysis result includes:
Matching the importance level with a plurality of preset importance levels to obtain a target preset importance level corresponding to the importance level;
acquiring a grade scene coefficient corresponding to the target preset importance grade;
acquiring the proportion of the historical documents with problems in the historical analysis results;
and setting the business scene coefficient of each business scene based on the grade scene coefficient and the proportion.
Wherein, each preset importance level corresponds to a level scene coefficient.
In some embodiments, the higher the target preset importance level, the higher the level scene coefficient corresponding to the target preset importance level, the higher the level scene coefficient and the scale, and the higher the preset scene coefficient.
And 104, calculating the bill sampling number of each service scene under each management center according to the bill total number, the bill sampling proportion and the service scene coefficient.
In some embodiments, the calculating the document sample number of each service scene under each management center according to the document total number, the document sample proportion and the service scene coefficient includes:
and multiplying the total number of the receipts, the receipt sampling proportion and the service scene coefficient to obtain the receipt sampling number of each service scene under each management center.
For example, under the management center b of the banking institution a, the total number of documents in the 3 months is 500, under the management center b of the banking institution a, the proportion of documents sampled by the documents in the business scene for travel is 5%, and the business scene coefficient of the business scene is 0.2, then under the management center b of the banking institution a, the number of documents sampled by the business scene for travel is 500×5% ×0.2=5.
And 105, determining a bill storage area of each management center under each banking institution from the bill master library, and sampling the bills of each business scene in the bill sampling time period from each bill storage area according to the bill sampling number to obtain a sampled bill.
And 106, analyzing the sampling bill and outputting an analysis result.
The analysis is carried out on the sampling bill, and mainly whether the sampling bill is carried out according to the financial system requirements or not is analyzed.
Any combination of the above optional solutions may be adopted to form an optional embodiment of the present application, which is not described herein in detail.
In particular, the present application is not limited by the order of execution of the steps described, and certain steps may be performed in other orders or concurrently without conflict.
As can be seen from the foregoing, in the document sampling analysis method provided in the embodiment of the present application, by determining the total number of documents respectively generated in each document sampling time period under each management center of each bank institution, then obtaining the document sampling proportion and the service scene coefficient corresponding to each service scene under each management center, according to the obtained total number of documents, the document sampling proportion and the service scene coefficient, calculating the document sampling number of each service scene under each management center, finally determining the document storage area of each management center under each bank institution from the document total library, and sampling the documents of each service scene in each document sampling time period according to the document sampling number from each document storage area, so as to obtain a sampled document, thereby ensuring that the obtained sampled document accords with expectations, that important service scenes are prominent, and that no omission exists in the service scene.
The embodiment of the application also provides a bill sampling analysis device which can be integrated in the electronic equipment.
Referring to fig. 2, fig. 2 is a schematic structural diagram of a document sampling analysis device according to an embodiment of the present application. The document sampling analysis device 30 may include:
A first obtaining module 31, configured to obtain a document sampling period;
a determining module 32, configured to determine, according to a bill gallery of the financial sharing center system, a total number of bills respectively generated in the bill sampling time period under each management center of each banking institution;
the second obtaining module 33 is configured to obtain a document sampling proportion and a service scene coefficient corresponding to each service scene under each management center;
the calculating module 34 is configured to calculate the document sampling number of each service scene under each management center according to the total number of documents, the document sampling proportion and the service scene coefficient;
the sampling module 35 is configured to determine a document storage area of each management center under each banking institution from the document master library, and sample documents of each service scenario in the document sampling time period from each document storage area according to a document sampling number to obtain a sampled document;
and the analysis module 36 is used for analyzing the sampling bill and outputting an analysis result.
In some embodiments, the second obtaining module 33 is configured to obtain a preset total sampling proportion and a volume proportion occupied by documents of each service scenario under each management center; multiplying the preset sampling total proportion by the volume proportion to obtain document sampling proportion corresponding to each service scene under each management center; acquiring importance level of each service scene, and acquiring a history analysis result obtained when sampling a history document of each service scene; and setting a business scene coefficient of each business scene based on the importance level and the historical analysis result.
In some embodiments, the second obtaining module 33 is configured to match the importance level with a plurality of preset importance levels to obtain a target preset importance level corresponding to the importance level; acquiring a grade scene coefficient corresponding to the target preset importance grade; acquiring the proportion of the historical documents with problems in the historical analysis results; and setting the business scene coefficient of each business scene based on the grade scene coefficient and the proportion.
In some embodiments, the calculating module 34 is configured to multiply the total number of documents, the proportion of document samples, and the service scene coefficient to obtain the number of document samples of each service scene under each management center.
In some embodiments, the first obtaining module 31 is configured to obtain a document flowing into the document collection; acquiring a banking institution and a management center to which each bill belongs, and acquiring a bill sampling time period of each bill; and storing the bills in different bill storage areas based on the banking institution, the management center and the bill sampling time period, wherein the banking institution, the management center and the bill sampling time period to which the bills in the same bill storage area belong are the same.
In some embodiments, the first obtaining module 31 is configured to divide the documents according to a banking institution and a management center to obtain at least one batch of first documents, where the banking institution and the management center of the same batch of first documents are the same; acquiring a bill sampling time period of each bill, and dividing each batch of first bills according to the bill sampling time period to obtain at least one batch of second bills, wherein the bill sampling time periods of the same batch of second bills are the same; and respectively storing the second documents of different batches in different document storage areas.
In specific implementation, each module may be implemented as a separate entity, or may be combined arbitrarily and implemented as the same entity or several entities.
As can be seen from the above, the document sampling analysis device 30 provided in the embodiment of the present application acquires a document sampling period through the first acquisition module 31; determining, by the determining module 32, a total number of documents respectively generated in the document sampling time period under each management center of each banking institution based on a document master of the financial sharing center system; acquiring bill sampling proportion and service scene coefficients corresponding to each service scene under each management center through a second acquisition module 33; calculating the bill sampling number of each service scene under each management center according to the bill total number, the bill sampling proportion and the service scene coefficient by a calculation module 34; determining a bill storage area of each management center under each banking institution from the bill master library through a sampling module 35, and sampling the bills of each service scene in the bill sampling time period from each bill storage area according to the bill sampling number to obtain a sampling bill; the sampled documents are analyzed by an analysis module 36 and the analysis results are output.
Referring to fig. 3, fig. 3 is another schematic diagram of a document sampling analysis device according to an embodiment of the present application, where the document sampling analysis device 30 includes a memory 120, one or more processors 180, and one or more application programs, where the one or more application programs are stored in the memory 120 and configured to be executed by the processors 180; the processor 180 may include a first acquisition module 31, a determination module 32, a second acquisition module 33, a calculation module 34, a sampling module 35, and an analysis module 36. For example, the structures and connection relationships of the above respective components may be as follows:
memory 120 may be used to store applications and data. The memory 120 stores application programs including executable code. Applications may constitute various functional modules. The processor 180 executes various functional applications and data processing by running application programs stored in the memory 120. In addition, memory 120 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage device. Accordingly, the memory 120 may also include a memory controller to provide access to the memory 120 by the processor 180.
The processor 180 is a control center of the device, connects various parts of the entire terminal using various interfaces and lines, and performs various functions of the device and processes data by running or executing application programs stored in the memory 120 and calling data stored in the memory 120, thereby performing overall monitoring of the device. Optionally, the processor 180 may include one or more processing cores; preferably, the processor 180 may integrate an application processor and a modem processor, wherein the application processor primarily processes an operating system, user interfaces, application programs, and the like.
In particular, in this embodiment, the processor 180 loads executable codes corresponding to the processes of one or more application programs into the memory 120 according to the following instructions, and the processor 180 executes the application programs stored in the memory 120, so as to implement various functions:
a first obtaining module 31, configured to obtain a document sampling period;
a determining module 32, configured to determine, according to a bill gallery of the financial sharing center system, a total number of bills respectively generated in the bill sampling time period under each management center of each banking institution;
the second obtaining module 33 is configured to obtain a document sampling proportion and a service scene coefficient corresponding to each service scene under each management center;
The calculating module 34 is configured to calculate the document sampling number of each service scene under each management center according to the total number of documents, the document sampling proportion and the service scene coefficient;
the sampling module 35 is configured to determine a document storage area of each management center under each banking institution from the document master library, and sample documents of each service scenario in the document sampling time period from each document storage area according to a document sampling number to obtain a sampled document;
and the analysis module 36 is used for analyzing the sampling bill and outputting an analysis result.
In some embodiments, the second obtaining module 33 is configured to obtain a preset total sampling proportion and a volume proportion occupied by documents of each service scenario under each management center; multiplying the preset sampling total proportion by the volume proportion to obtain document sampling proportion corresponding to each service scene under each management center; acquiring importance level of each service scene, and acquiring a history analysis result obtained when sampling a history document of each service scene; and setting a business scene coefficient of each business scene based on the importance level and the historical analysis result.
In some embodiments, the second obtaining module 33 is configured to match the importance level with a plurality of preset importance levels to obtain a target preset importance level corresponding to the importance level; acquiring a grade scene coefficient corresponding to the target preset importance grade; acquiring the proportion of the historical documents with problems in the historical analysis results; and setting the business scene coefficient of each business scene based on the grade scene coefficient and the proportion.
In some embodiments, the calculating module 34 is configured to multiply the total number of documents, the proportion of document samples, and the service scene coefficient to obtain the number of document samples of each service scene under each management center.
In some embodiments, the first obtaining module 31 is configured to obtain a document flowing into the document collection; acquiring a banking institution and a management center to which each bill belongs, and acquiring a bill sampling time period of each bill; and storing the bills in different bill storage areas based on the banking institution, the management center and the bill sampling time period, wherein the banking institution, the management center and the bill sampling time period to which the bills in the same bill storage area belong are the same.
In some embodiments, the first obtaining module 31 is configured to divide the documents according to a banking institution and a management center to obtain at least one batch of first documents, where the banking institution and the management center of the same batch of first documents are the same; acquiring a bill sampling time period of each bill, and dividing each batch of first bills according to the bill sampling time period to obtain at least one batch of second bills, wherein the bill sampling time periods of the same batch of second bills are the same; and respectively storing the second documents of different batches in different document storage areas.
The embodiment of the application also provides electronic equipment. Referring to fig. 4, fig. 4 shows a schematic structural diagram of an electronic device according to an embodiment of the present application, which may be used to implement the document sampling analysis method provided in the foregoing embodiment.
As shown in fig. 4, the electronic device 1200 may include an RF (Radio Frequency) circuit 110, a memory 120 including one or more computer readable storage media (only one is shown), an input unit 130, a display unit 140, a sensor 150, an audio circuit 160, a transmission module 170, a processor 180 including one or more processing cores (only one is shown), and a power supply 190. Those skilled in the art will appreciate that the configuration of the electronic device 1200 shown in fig. 4 does not constitute a limitation of the electronic device 1200, and may include more or fewer components than shown, or may combine certain components, or may have a different arrangement of components. Wherein:
The RF circuit 110 is configured to receive and transmit electromagnetic waves, and to perform mutual conversion between the electromagnetic waves and the electrical signals, so as to communicate with a communication network or other devices. RF circuitry 110 may include various existing circuit elements for performing these functions, such as an antenna, a radio frequency transceiver, a digital signal processor, an encryption/decryption chip, a Subscriber Identity Module (SIM) card, memory, and the like. The RF circuitry 110 may communicate with various networks such as the internet, intranets, wireless networks, or other devices via wireless networks.
The memory 120 may be used to store software programs and modules, such as program instructions/modules corresponding to the document sampling analysis method in the above embodiment, and the processor 180 executes the software programs and modules stored in the memory 120, so as to perform various functional applications and data processing, so that the obtained sampled document meets the expectations, significant business scenario highlights, and no omission exists in the business scenario. Memory 120 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 120 may further include memory remotely located relative to the processor 180, which may be connected to the electronic device 1200 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.
The input unit 130 may be used to receive input numeric or character information and to generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control. In particular, the input unit 130 may comprise a touch sensitive surface 131 and other input devices 132. The touch-sensitive surface 131, also referred to as a touch display screen or a touch pad, may collect touch operations thereon or thereabout by a user (e.g., operations of the user on the touch-sensitive surface 131 or thereabout by using any suitable object or accessory such as a finger, stylus, etc.), and actuate the corresponding connection means according to a predetermined program. Alternatively, the touch sensitive surface 131 may comprise two parts, a touch detection device and a touch controller. The touch detection device detects the touch azimuth of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch detection device and converts it into touch point coordinates, which are then sent to the processor 180, and can receive commands from the processor 180 and execute them. In addition, the touch-sensitive surface 131 may be implemented in various types of resistive, capacitive, infrared, surface acoustic wave, and the like. In addition to the touch-sensitive surface 131, the input unit 130 may also comprise other input devices 132. In particular, other input devices 132 may include, but are not limited to, one or more of a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, mouse, joystick, etc.
The display unit 140 may be used to display information entered by a user or provided to a user as well as various graphical user interfaces of the electronic device 1200, which may be composed of graphics, text, icons, video, and any combination thereof. The display unit 140 may include a display panel 141, and alternatively, the display panel 141 may be configured in the form of an LCD (Liquid Crystal Display ), an OLED (Organic Light-Emitting Diode), or the like. Further, the touch-sensitive surface 131 may overlay the display panel 141, and upon detection of a touch operation thereon or thereabout by the touch-sensitive surface 131, the touch-sensitive surface is transferred to the processor 180 to determine the type of touch event, and the processor 180 then provides a corresponding visual output on the display panel 141 based on the type of touch event. Although in fig. 4 the touch-sensitive surface 131 and the display panel 141 are implemented as two separate components for input and output functions, in some embodiments the touch-sensitive surface 131 may be integrated with the display panel 141 to implement the input and output functions.
The electronic device 1200 may also include at least one sensor 150, such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor may include an ambient light sensor that may adjust the brightness of the display panel 141 according to the brightness of ambient light, and a proximity sensor that may turn off the display panel 141 and/or the backlight when the electronic device 1200 moves to the ear. As one of the motion sensors, the gravity acceleration sensor can detect the acceleration in all directions (generally three axes), and can detect the gravity and the direction when the mobile phone is stationary, and can be used for applications of recognizing the gesture of the mobile phone (such as horizontal and vertical screen switching, related games, magnetometer gesture calibration), vibration recognition related functions (such as pedometer and knocking), and the like; other sensors such as gyroscopes, barometers, hygrometers, thermometers, infrared sensors, etc. that may also be configured with the electronic device 1200 are not described in detail herein.
Audio circuitry 160, speaker 161, microphone 162 may provide an audio interface between a user and electronic device 1200. The audio circuit 160 may transmit the received electrical signal converted from audio data to the speaker 161, and the electrical signal is converted into a sound signal by the speaker 161 to be output; on the other hand, the microphone 162 converts the collected sound signal into an electrical signal, receives the electrical signal from the audio circuit 160, converts the electrical signal into audio data, outputs the audio data to the processor 180 for processing, transmits the audio data to, for example, another terminal via the RF circuit 110, or outputs the audio data to the memory 120 for further processing. The audio circuit 160 may also include an ear bud jack to provide communication of the peripheral headphones with the electronic device 1200.
The electronic device 1200 may facilitate user email, web browsing, streaming media access, etc. via the transmission module 170 (e.g., wi-Fi module), which provides wireless broadband internet access to the user. Although fig. 4 shows the transmission module 170, it is understood that it does not belong to the essential constitution of the electronic device 1200, and can be omitted entirely as required within the scope not changing the essence of the invention.
The processor 180 is a control center of the electronic device 1200, connects various parts of the entire handset using various interfaces and lines, performs various functions of the electronic device 1200 and processes data by running or executing software programs and/or modules stored in the memory 120, and invoking data stored in the memory 120. Optionally, the processor 180 may include one or more processing cores; in some embodiments, the processor 180 may integrate an application processor that primarily processes operating systems, user interfaces, applications, etc., with a modem processor that primarily processes wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 180.
The electronic device 1200 also includes a power supply 190 (e.g., a battery) that provides power to the various components, and in some embodiments, may be logically coupled to the processor 180 via a power management system to perform functions such as managing charging, discharging, and power consumption via the power management system. The power supply 190 may also include one or more of any of a direct current or alternating current power supply, a recharging system, a power failure detection circuit, a power converter or inverter, a power status indicator, and the like.
Although not shown, the electronic device 1200 may also include a camera (e.g., front camera, rear camera), a bluetooth module, etc., which are not described in detail herein. In particular, in the present embodiment, the display unit 140 of the electronic device 1200 is a touch screen display, the electronic device 1200 further includes a memory 120, and one or more programs, wherein the one or more programs are stored in the memory 120 and configured to be executed by the one or more processors 180, the one or more programs include instructions for:
acquiring a receipt sampling time period;
determining the total number of the bills respectively generated in the bill sampling time period under each management center of each banking institution according to the bill master library of the financial sharing center system;
Acquiring document sampling proportion and service scene coefficients corresponding to each service scene under each management center;
calculating the bill sampling number of each service scene under each management center according to the bill total number, the bill sampling proportion and the service scene coefficient;
determining bill storage areas of management centers under all banking institutions from the bill master library, and sampling the bills of all business scenes in the bill sampling time period from the bill storage areas according to the bill sampling number to obtain sampling bills;
and analyzing the sampling bill and outputting an analysis result.
In some embodiments, the processor 180 is configured to obtain a preset total sampling proportion and a volume proportion occupied by documents of each service scene under each management center;
multiplying the preset sampling total proportion by the volume proportion to obtain document sampling proportion corresponding to each service scene under each management center;
acquiring importance level of each service scene, and acquiring a history analysis result obtained when sampling a history document of each service scene;
and setting a business scene coefficient of each business scene based on the importance level and the historical analysis result.
In some embodiments, the processor 180 is configured to match the importance level with a plurality of preset importance levels to obtain a target preset importance level corresponding to the importance level;
acquiring a grade scene coefficient corresponding to the target preset importance grade;
acquiring the proportion of the historical documents with problems in the historical analysis results;
and setting the business scene coefficient of each business scene based on the grade scene coefficient and the proportion.
In some embodiments, the processor 180 is configured to multiply the total number of documents, the proportion of document samples, and the service scene coefficient to obtain the number of document samples of each service scene under each management center.
In some embodiments, the processor 180 is configured to obtain documents flowing into the document collection;
acquiring a banking institution and a management center to which each bill belongs, and acquiring a bill sampling time period of each bill;
and storing the bills in different bill storage areas based on the banking institution, the management center and the bill sampling time period, wherein the banking institution, the management center and the bill sampling time period to which the bills in the same bill storage area belong are the same.
In some embodiments, the processor 180 is configured to divide the documents according to a banking institution and a management center to obtain at least one first batch of documents, where the banking institution and the management center of the same first batch of documents are the same;
acquiring a bill sampling time period of each bill, and dividing each batch of first bills according to the bill sampling time period to obtain at least one batch of second bills, wherein the bill sampling time periods of the same batch of second bills are the same;
and respectively storing the second documents of different batches in different document storage areas.
As can be seen from the above, the embodiment of the present application provides an electronic device 1200, wherein the electronic device 1200 performs the following steps: acquiring a receipt sampling time period; determining the total number of the bills respectively generated in the bill sampling time period under each management center of each banking institution according to the bill master library of the financial sharing center system; acquiring document sampling proportion and service scene coefficients corresponding to each service scene under each management center; calculating the bill sampling number of each service scene under each management center according to the bill total number, the bill sampling proportion and the service scene coefficient; determining bill storage areas of management centers under all banking institutions from the bill master library, and sampling the bills of all business scenes in the bill sampling time period from the bill storage areas according to the bill sampling number to obtain sampling bills; and analyzing the sampling bill and outputting an analysis result.
The embodiment of the application further provides a computer readable storage medium, wherein a computer program is stored in the computer readable storage medium, and when the computer program runs on a computer, the computer executes the document sampling analysis method according to any embodiment.
It should be noted that, for the document sampling analysis method described in the present application, it will be understood by those skilled in the art that all or part of the process of implementing the document sampling analysis method described in the embodiments of the present application may be implemented by controlling related hardware through a computer program, where the computer program may be stored in a computer readable storage medium, such as a memory of an electronic device, and executed by at least one processor in the electronic device, and the execution may include the process of implementing the embodiment of the document sampling analysis method. The storage medium may be a magnetic disk, an optical disk, a Read Only Memory (ROM), a random access Memory (RAM, random Access Memory), or the like.
For the document sampling analysis device in the embodiment of the present application, each functional module may be integrated in one processing chip, or each module may exist separately and physically, or two or more modules may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated module, if implemented as a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium such as read-only memory, magnetic or optical disk, etc.
The document sampling analysis method, the device, the storage medium and the electronic equipment provided by the embodiment of the application are described in detail. The principles and embodiments of the present application are described herein with specific examples, the above examples being provided only to assist in understanding the methods of the present application and their core ideas; meanwhile, those skilled in the art will have variations in the specific embodiments and application scope in light of the ideas of the present application, and the present description should not be construed as limiting the present application in view of the above.
Claims (10)
1. The utility model provides a bill sampling analysis method which is characterized in that the method is applied to a financial sharing center system of a plurality of banking institutions, at least one management center is arranged under each banking institution, and the financial sharing center system stores bills under at least one business scene generated by each management center, and the method comprises the following steps:
acquiring a receipt sampling time period;
determining the total number of the bills respectively generated in the bill sampling time period under each management center of each banking institution according to the bill master library of the financial sharing center system;
acquiring document sampling proportion and service scene coefficients corresponding to each service scene under each management center;
Calculating the bill sampling number of each service scene under each management center according to the bill total number, the bill sampling proportion and the service scene coefficient;
determining bill storage areas of management centers under all banking institutions from the bill master library, and sampling the bills of all business scenes in the bill sampling time period from the bill storage areas according to the bill sampling number to obtain sampling bills;
and analyzing the sampling bill and outputting an analysis result.
2. The document sampling analysis method according to claim 1, wherein the obtaining the document sampling proportion and the service scene coefficient corresponding to each service scene under each management center includes:
acquiring the volume proportion of documents of each service scene under each management center, wherein the volume proportion is occupied by the documents of each service scene under each management center;
multiplying the preset sampling total proportion by the volume proportion to obtain document sampling proportion corresponding to each service scene under each management center;
acquiring importance level of each service scene, and acquiring a history analysis result obtained when sampling a history document of each service scene;
and setting a business scene coefficient of each business scene based on the importance level and the historical analysis result.
3. The document sampling analysis method according to claim 2, wherein the setting the business scenario coefficients of each business scenario based on the importance level and the history analysis result comprises:
matching the importance level with a plurality of preset importance levels to obtain a target preset importance level corresponding to the importance level;
acquiring a grade scene coefficient corresponding to the target preset importance grade;
acquiring the proportion of the historical documents with problems in the historical analysis results;
and setting the business scene coefficient of each business scene based on the grade scene coefficient and the proportion.
4. A document sampling analysis method according to claim 3 wherein the higher the target preset importance level, the higher the level scene coefficient corresponding to the target preset importance level, the higher the level scene coefficient and the ratio, and the higher the business scene coefficient.
5. The document sampling analysis method according to claim 1, wherein the calculating the document sampling number of each service scene under each management center according to the document total number, the document sampling proportion and the service scene coefficient comprises:
And multiplying the total number of the receipts, the receipt sampling proportion and the service scene coefficient to obtain the receipt sampling number of each service scene under each management center.
6. The document sampling analysis method according to claim 1, wherein prior to the acquiring the document sampling period, further comprising:
acquiring a bill flowing into the bill master library;
acquiring a banking institution and a management center to which each bill belongs, and acquiring a bill sampling time period of each bill;
and storing the bills in different bill storage areas based on the banking institution, the management center and the bill sampling time period, wherein the banking institution, the management center and the bill sampling time period to which the bills in the same bill storage area belong are the same.
7. The document sampling analysis method according to claim 6, wherein the storing the documents in different document storage areas based on the banking institution, the management center and the document sampling time period, respectively, wherein the banking institution, the management center and the document sampling time period to which the documents in the same document storage area belong are the same, includes:
dividing the bills according to a banking institution and a management center to obtain at least one batch of first bills, wherein the banking institution and the management center of the same batch of first bills are the same;
Acquiring a bill sampling time period of each bill, and dividing each batch of first bills according to the bill sampling time period to obtain at least one batch of second bills, wherein the bill sampling time periods of the same batch of second bills are the same;
and respectively storing the second documents of different batches in different document storage areas.
8. A document sampling analysis device, the device comprising:
the first acquisition module is used for acquiring a bill sampling time period;
the determining module is used for determining the total number of the bills respectively generated in the bill sampling time period under each management center of each banking institution according to the bill total library of the financial sharing center system;
the second acquisition module is used for acquiring the bill sampling proportion and the service scene coefficient corresponding to each service scene under each management center;
the calculation module is used for calculating the bill sampling number of each service scene under each management center according to the bill total number, the bill sampling proportion and the service scene coefficient;
the sampling module is used for determining bill storage areas of management centers under all banking institutions from the bill master library, and sampling the bills of all business scenes in the bill sampling time period from the bill storage areas according to the bill sampling number to obtain sampled bills;
And the analysis module is used for analyzing the sampling bill and outputting an analysis result.
9. A computer readable storage medium, wherein a computer program is stored in the computer readable storage medium, which when run on a computer causes the computer to perform the document sampling analysis method of any one of claims 1 to 7.
10. An electronic device comprising a processor and a memory, the memory having stored therein a computer program, the processor being operable to perform the document sampling analysis method of any one of claims 1 to 7 by invoking the computer program stored in the memory.
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| CN202211087878.4A CN116503185A (en) | 2022-09-07 | 2022-09-07 | Document sampling analysis method and device, storage medium and electronic equipment |
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| CN202211087878.4A CN116503185A (en) | 2022-09-07 | 2022-09-07 | Document sampling analysis method and device, storage medium and electronic equipment |
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| CN116503185A true CN116503185A (en) | 2023-07-28 |
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