CN116934096A - Management method, system, equipment and storage medium for automatically generating fee control rule - Google Patents
Management method, system, equipment and storage medium for automatically generating fee control rule Download PDFInfo
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Abstract
The application relates to a data processing technology and discloses a management method, a system, equipment and a storage medium for automatically generating a fee control rule, wherein the method comprises the following steps: acquiring service information corresponding to a preset user group, coding the service information to obtain a fee control rule code, and determining fee control capability according to the fee control rule code; analyzing the fee control capability, and controlling the performance process corresponding to the preset user group according to the analysis result to obtain performance data; calculating the risk occurrence rate of the performance process according to the performance data, and generating an initial cost control rule according to the cost control rule code and the cost control capability; and optimizing the initial fee control rule by using the risk occurrence rate to obtain a standard fee control rule. The application can automatically generate and manage the fee control rule according to the user group and push the fee control rule to the implementing party, thereby controlling the occurrence rate of claims when the user performs the implementing.
Description
Technical Field
The present application relates to the field of data processing technologies, and in particular, to a management method, system, device, and storage medium for automatically generating a fee control rule.
Background
The electronic card is used as a selling mode for bearing medical services, after activation, the electronic card gives the user rights and interests, and different rights and interests can be provided for different performance services of the user, such as inquiry, registration, accompanying diagnosis, physical examination and the like. Today, the sales of medical service electronic cards are mainly divided into two main categories: firstly, purchasing an electronic card in a mall and secondly, docking and issuing the electronic card by a system; the use of electronic cards by users is divided into two phases: firstly, collecting the performance information to activate the rights and interests, and secondly, performing the performance of the user.
However, in order to better attract customers, many combination medical claims services are being introduced, with the more common combination medical claims services being: the combination of inquiry, prescription and claim withholds, such combination products are typically leveraged, for example: a consultation purchase medicine claim card selling price is 200 yuan, and the maximum claim amount of 10000 yuan or more can be generated when the user actually uses the consultation purchase medicine claim card selling price, so that the user rights and interests are ensured. Further, in order to better ensure the user rights and interests, the fee control rules can be generated according to different user groups, and the rate of claim settlement when the user performs can be controlled according to the fee control rules. In summary, how to automatically generate and manage the fee control rules according to the user group and push the fee control rules to the performing party, so that the control of the occurrence rate of claims during the user performing becomes a problem to be solved urgently.
Disclosure of Invention
The application provides a management method, a system, equipment and a storage medium for automatically generating a fee control rule, which mainly aims to solve the problem of how to automatically generate and manage the fee control rule according to a user group and push the fee control rule to a fulfillment party so as to control the occurrence rate of claims when the user performs the fee control.
In order to achieve the above object, the present application provides a management method for automatically generating a fee control rule, including:
acquiring service information corresponding to a preset user group, coding the service information to obtain a fee control rule code, and determining fee control capability according to the fee control rule code;
analyzing the cost control capability, and controlling the performance process corresponding to the preset user group according to the analysis result to obtain performance data;
calculating the risk occurrence rate of the performance process according to the performance data, and generating an initial cost control rule according to the cost control rule code and the cost control capability;
and optimizing the initial fee control rule by using the risk occurrence rate to obtain a standard fee control rule.
Optionally, the encoding the service information to obtain a fee control rule code includes:
randomly selecting a target user from the preset user group, and selecting target service information corresponding to the target user from the service information;
classifying the target service information to obtain a target service type;
sequencing the target service information to obtain an information sequence;
and generating an information binary group according to the target service type and the information sequence, and taking the information binary group as a charge control rule code.
Optionally, the determining the fee control capability according to the fee control rule code includes:
matching the fee control rule code with a preset capacity pool to obtain matching capacity;
setting a capability bit according to the matching capability, and generating a fee control capability according to the capability bit.
Optionally, the matching the fee control rule code and the preset capability pool to obtain a matching capability includes:
acquiring a target service type corresponding to the charge control rule code and an alternative service type in the capability pool;
matching calculation is carried out on the target service type and the alternative service type, so that matching degree is obtained;
and selecting a standard service type from the alternative service types according to the matching degree, and extracting matching capacity from the capacity pool according to the standard service type.
Optionally, the controlling the performance process corresponding to the preset user group according to the analysis result to obtain performance data includes:
when the analysis result is that the capability bit corresponding to the fee control capability is opened, monitoring the performance process corresponding to the preset user group to obtain monitoring data;
and comparing and analyzing the monitoring data with preset standard data, and performing outlier processing on the monitoring data according to an analysis result to obtain performance data.
Optionally, the calculating the risk occurrence rate of the performance process according to the performance data includes:
acquiring historical data of a target user corresponding to the preset user group, and extracting default data in the historical data;
calculating the default probability corresponding to the target user according to the historical data and the default data;
and calculating the risk occurrence rate of the performance process according to the breach probability, the breach data and the performance data.
Optionally, the generating an initial fee control rule according to the fee control rule code and the fee control capability includes:
acquiring capability bits corresponding to the fee control capability based on the fee control rule codes, and acquiring service types corresponding to the capability bits;
setting service content according to the service type, and setting charging items and service fees according to the service content;
and generating a service scheme according to the service content, the charging item and the service cost, and taking the service scheme as an initial charge control rule.
In order to solve the above problems, the present application further provides a management system for automatically generating a fee control rule, the system comprising:
the charge control capability determining module is used for acquiring service information corresponding to a preset user group, coding the service information to obtain a charge control rule code, and determining charge control capability according to the charge control rule code;
the performance process control module is used for analyzing the cost control capability and controlling the performance process corresponding to the preset user group according to the analysis result to obtain performance data;
the risk occurrence rate calculation module is used for calculating the risk occurrence rate of the performance process according to the performance data and generating an initial cost control rule according to the cost control rule code and the cost control capability;
and the fee control rule optimizing module is used for optimizing the initial fee control rule by utilizing the risk occurrence rate to obtain a standard fee control rule.
In order to solve the above-mentioned problems, the present application also provides an electronic apparatus including:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the above-described management method of automatically generating a fee control rule.
In order to solve the above-mentioned problems, the present application also provides a computer-readable storage medium having stored therein at least one computer program that is executed by a processor in an electronic device to implement the above-mentioned management method for automatically generating a fee control rule.
The embodiment of the application can accurately obtain the fee control rule code by coding the service information; the fee control capability is determined through fee control rule codes, so that the performance process of the user group can be guided, and the performance efficiency is ensured; the fee control capability is analyzed, and the performance process corresponding to the preset user group is controlled according to the analysis result, so that the performance data can be accurately obtained, and the data analysis efficiency and the computer processing efficiency are improved; the risk occurrence rate of the performance process is accurately calculated through the performance data, and an initial cost control rule is automatically generated according to the cost control rule code and the cost control capability, so that the cost control rule code and the cost control capability can be uniformly managed, and the problems of control omission, error control and the like caused by non-uniform upstream and downstream configuration are avoided; and optimizing the initial fee control rule through the risk occurrence rate to obtain a standard fee control rule, and pushing the standard fee control rule to the implementing party, so that the claim settlement occurrence rate can be controlled when the user performs the implementing. Therefore, the management method, the system, the equipment and the storage medium for automatically generating the fee control rule can solve the problem of how to automatically generate and manage the fee control rule according to the user group and push the fee control rule to the implementing party so as to control the occurrence rate of claims when the user performs the implementing.
Drawings
FIG. 1 is a flowchart illustrating a method for automatically generating a fee control rule according to an embodiment of the present application;
FIG. 2 is a schematic flow chart of matching a fee control rule code and a preset capability pool to obtain matching capability according to an embodiment of the present application;
FIG. 3 is a flowchart illustrating a process for calculating a risk occurrence of a performance process based on performance data according to an embodiment of the present application;
FIG. 4 is a functional block diagram of a management system for automatically generating fee control rules according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device implementing the management method for automatically generating a fee control rule according to an embodiment of the present application.
The achievement of the objects, functional features and advantages of the present application will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The embodiment of the application provides a management method for automatically generating a fee control rule. The execution subject of the management method for automatically generating the fee control rule includes, but is not limited to, at least one of a server, a terminal and the like capable of being configured to execute the method provided by the embodiment of the application. In other words, the management method for automatically generating the fee control rule may be performed by software or hardware installed in the terminal device or the server device, and the software may be a blockchain platform. The service end includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like. The server may be an independent server, or may be a cloud server that provides cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (ContentDelivery Network, CDN), and basic cloud computing services such as big data and artificial intelligence platforms.
Referring to fig. 1, a flowchart of a management method for automatically generating a fee control rule according to an embodiment of the present application is shown. In this embodiment, the method for managing the automatically generated fee control rule includes:
s1, acquiring service information corresponding to a preset user group, coding the service information to obtain a fee control rule code, and determining fee control capability according to the fee control rule code.
In the embodiment of the present application, the preset user group includes a plurality of different users, such as a plurality of users with different ages, a plurality of users with different occupations, and/or a plurality of users with different living areas; the business information can include registration information, diagnosis and treatment information, nursing information, claim settlement information and the like of each user in the preset user group.
In the embodiment of the present application, the encoding the service information to obtain the fee control rule code includes:
randomly selecting a target user from the preset user group, and selecting target service information corresponding to the target user from the service information;
classifying the target service information to obtain a target service type;
sequencing the target service information to obtain an information sequence;
and generating an information binary group according to the target service type and the information sequence, and taking the information binary group as a charge control rule code.
In the embodiment of the application, as one target user corresponds to a plurality of service information and only one fee control rule code corresponding to the service information is provided, one target user may correspond to one or a plurality of fee control rule codes; the target service information may be classified by using a decision tree classification algorithm, for example, the target service information is classified into a plurality of service types according to information attributes in the target service information, where a threshold value of the classification may be an average value or a mode of the information attributes, and the service types include a physical examination type, a registration type, a accompany type, and the like.
In the embodiment of the application, the target service information can be arranged in an ascending order according to the alphabetical order to obtain an information sequence; and integrating according to the target service type and the information sequence corresponding to the target service information, for example, if the target service information corresponding to the target user is related information for checking allergy symptoms, the target service information belongs to a physical examination type, and further, the target user only has one target service information, so that the sequence of the target service information is 00001, and the information binary group is Physical examination business _00001, namely the charge control rule code.
In the embodiment of the present application, the determining the fee control capability according to the fee control rule code includes:
matching the fee control rule code with a preset capacity pool to obtain matching capacity;
setting a capability bit according to the matching capability, and generating a fee control capability according to the capability bit.
In the embodiment of the present application, the capability pool includes a plurality of service types and corresponding matching capabilities, for example, when the service type is a physical examination type, the matching capability corresponding to the service type may collect first diagnosis information for using a query push card.
Referring to fig. 2, in the embodiment of the present application, the matching the fee control rule code and the preset capability pool to obtain a matching capability includes:
s21, acquiring a target service type corresponding to the charge control rule code and an alternative service type in the capability pool;
s22, carrying out matching calculation on the target service type and the alternative service type to obtain matching degree;
s23, selecting a standard service type from the alternative service types according to the matching degree, and extracting matching capacity from the capacity pool according to the standard service type.
In the embodiment of the present application, the candidate service type refers to a part of service types included in the service types corresponding to the capability pool.
In the embodiment of the application, the matching degree is calculated by using the following formula:
wherein beta represents the matching degree, X a Represents the a-th target service type, Y b Represents the B-th alternative service type, a represents the total number of the target service types, and B represents the total number of the alternative service types.
In the embodiment of the application, the alternative service types are ordered in a descending order according to the matching degree, the first ordered alternative service type is used as a standard service type, and the matching capability corresponding to the standard service type is obtained from the capability pool according to the standard service type.
In the embodiment of the application, setting the capability bit according to the matching capability refers to that each matching capability corresponds to one capability bit, and the capability bit is expressed in a numerical form (1 indicates that the matching capability is included/0 indicates that the matching capability is not included), for example, the capability bit 1 indicates that the inquiry push card collects the first diagnosis information, and is set to 000000001; capability bit 3 represents the matching capability of the doctor workbench for controlling the amount of the drug delivery, and is set to 000000100; capability bit 8 indicates a matching capability to alert the physician to view the user's medication record, set to 010000000; therefore, a plurality of capability bits are obtained according to a plurality of the matching capabilities, and the capability bits are summarized to obtain the cost control capability, for example, the capability bit is represented as [010000101, 010000110,011000000] and the cost control capability is 011000111 through bit operation.
In the embodiment of the application, the business information is encoded, the fee control rule code can be accurately obtained, the fee control capability is determined according to the fee control rule code, and the fee control rule generation efficiency can be accelerated.
S2, analyzing the fee control capability, and controlling the performance process corresponding to the preset user group according to the analysis result to obtain performance data.
In the embodiment of the application, analyzing the charge control capability refers to acquiring a capability bit according to the charge control capability, extracting a matching capability according to the capability bit, receiving service data generated by the matching capability by using a data interface, judging whether the capability bit corresponding to the charge control capability is started or not according to whether the service data is received, namely whether the service corresponding to the capability bit is started or completed, and when the capability bit corresponding to the charge control capability is started, indicating that the service corresponding to the capability bit is started or completed; and when the capability bit corresponding to the cost control capability is not started, indicating that the service corresponding to the capability bit is not started.
In the embodiment of the present application, the controlling the performance process corresponding to the preset user group according to the analysis result, to obtain performance data includes:
when the analysis result is that the capability bit corresponding to the fee control capability is opened, monitoring the performance process corresponding to the preset user group to obtain monitoring data;
and comparing and analyzing the monitoring data with preset standard data, and performing outlier processing on the monitoring data according to an analysis result to obtain performance data.
In the embodiment of the present application, when the result of the analysis is that the capability bit corresponding to the fee control capability is not opened, it indicates that the service corresponding to the preset user group is not executed, that is, the performing process is not started, so that the notification.request permission method may be used to implement the opening prompt and the visual display, for example, the opening prompt is set as a word of "your service is not opened"; when the analysis result is that the capability bit corresponding to the fee control capability is opened, recording the performance process of the target user corresponding to the preset user group by using medical instruments or monitoring instruments such as an electrocardiograph, a blood pressure meter and an oximeter, and obtaining monitoring data corresponding to the target user; the standard data refers to normal performance data acquired in advance; judging whether the monitoring data is in the data range of the standard data, and when the monitoring data is in the data range of the standard data, indicating that the monitoring data performs normally, and taking the monitoring data as performance data; and when the monitoring data is not in the data range of the standard data, indicating that the monitoring data does not perform normally, deleting the monitoring data, and taking the deleted monitoring data as the performing data.
In the embodiment of the application, the cost control capability is analyzed, and the performance process corresponding to the preset user group is controlled according to the analysis result, so that the performance data can be accurately obtained, and the computer processing efficiency is accelerated.
And S3, calculating the risk occurrence rate of the performance process according to the performance data, and generating an initial cost control rule according to the cost control rule code and the cost control capability.
Referring to fig. 3, in an embodiment of the present application, the calculating the risk occurrence rate of the performance process according to the performance data includes:
s31, acquiring historical data of a target user corresponding to the preset user group, and extracting default data in the historical data;
s32, calculating the default probability corresponding to the target user according to the historical data and the default data;
and S33, calculating the risk occurrence rate of the performance process according to the breach probability, the breach data and the performance data.
In the embodiment of the application, the historical data of the target user comprises the performance data and the default data corresponding to the target user, wherein the performance data comprises the amount of the drug prescribed controlled by a doctor workbench and the like; the default data comprise a user medication record and the like which are not reminded of a doctor; and obtaining the default probability corresponding to the target user according to the ratio of the default data in the historical data to the historical data.
In the embodiment of the application, the risk occurrence rate is calculated by using the following formula:
wherein η represents the risk occurrence rate, γ i Representing the default probability corresponding to the ith target user, D 1 Representing the performance data, D 2 Representing the default data, pr represents a probability density function, and Sev represents an analysis function.
In the embodiment of the present application, the generating an initial fee control rule according to the fee control rule code and the fee control capability includes:
acquiring capability bits corresponding to the fee control capability based on the fee control rule codes, and acquiring service types corresponding to the capability bits;
setting service content according to the service type, and setting charging items and service fees according to the service content;
and generating a service scheme according to the service content, the charging item and the service cost, and taking the service scheme as an initial charge control rule.
In the embodiment of the application, the capability potential corresponding to the fee control capability can be acquired according to the encoding sequence of the fee control rule to avoid data loss, so that the generated initial fee control rule is inaccurate; the service content corresponding to different service types is inconsistent, for example, the physical examination type comprises inquiry, uploading cases and the like; setting a plurality of charging items and service fees according to the different service contents, for example, when the charging items are blood examination, the service fees are 800-1000 yuan; when the charging item is lung film shooting, the service cost is 100-500 yuan and the like; generating a service scheme according to the service content, the charging item and the service expense refers to confirming service time and service place according to the service content, generating a service report according to the service time, the service place, the charging item and the service expense, and taking the service report as an initial expense control rule.
According to the embodiment of the application, the risk occurrence rate of the performance process can be accurately calculated according to the performance data, and the initial cost control rule is generated according to the cost control rule coding and the cost control capability, so that the cost control rule coding and the cost control capability can be uniformly managed, and the problems of control omission, error control and the like caused by non-uniform upstream and downstream configuration are avoided.
And S4, optimizing the initial fee control rule by utilizing the risk occurrence rate to obtain a standard fee control rule.
In the embodiment of the present application, the optimizing the initial fee control rule by using the risk occurrence rate to obtain a standard fee control rule includes:
judging whether the risk occurrence rate is larger than a preset target occurrence rate or not;
when the risk occurrence rate is smaller than or equal to the target occurrence rate, taking the initial fee control rule as a standard fee control rule;
and when the risk occurrence rate is greater than the target occurrence rate, adjusting the charging item and the service cost in the initial cost control rule to obtain a standard cost control rule.
In the embodiment of the application, when the risk occurrence rate is smaller than or equal to the target occurrence rate, the service content in the initial fee control rule corresponding to the target user is indicated to be completed, and the initial fee control rule is taken as a standard fee control rule; when the risk sending rate is larger than the target sending rate, the fact that the target user does not complete the service content in the initial charge control rule or completes the service content which does not belong to the initial charge control rule is indicated, so that charging items and service charges in the initial charge control rule need to be added or deleted, and updating of the initial charge control rule is achieved, and standard charge control rules are obtained.
In the embodiment of the application, the initial fee control rule is optimized by using the risk occurrence rate, and the standard fee control rule can be accurately obtained, so that the claim settlement occurrence rate can be controlled when the user performs the contract.
The embodiment of the application can accurately obtain the fee control rule code by coding the service information; the fee control capability is determined through fee control rule codes, so that the performance process of the user group can be guided, and the performance efficiency is ensured; the fee control capability is analyzed, and the performance process corresponding to the preset user group is controlled according to the analysis result, so that the performance data can be accurately obtained, and the data analysis efficiency and the computer processing efficiency are improved; the risk occurrence rate of the performance process is accurately calculated through the performance data, and an initial cost control rule is automatically generated according to the cost control rule code and the cost control capability, so that the cost control rule code and the cost control capability can be uniformly managed, and the problems of control omission, error control and the like caused by non-uniform upstream and downstream configuration are avoided; and optimizing the initial fee control rule through the risk occurrence rate to obtain a standard fee control rule, and pushing the standard fee control rule to the implementing party, so that the claim settlement occurrence rate can be controlled when the user performs the implementing. Therefore, the management method for automatically generating the fee control rule can solve the problem of how to automatically generate and manage the fee control rule according to the user group and push the fee control rule to the implementing party, thereby controlling the occurrence rate of claims when the user performs the implementing.
Fig. 4 is a functional block diagram of a management system for automatically generating a fee control rule according to an embodiment of the present application.
The management system 400 for automatically generating the fee control rule according to the present application may be installed in an electronic device. Depending on the functions implemented, the management system 400 that automatically generates the fee control rules may include a fee control capability determination module 401, a performance process control module 402, a risk occurrence calculation module 403, and a fee control rule optimization module 404. The module of the application, which may also be referred to as a unit, refers to a series of computer program segments, which are stored in the memory of the electronic device, capable of being executed by the processor of the electronic device and of performing a fixed function.
In the present embodiment, the functions concerning the respective modules/units are as follows:
the fee control capability determining module 401 is configured to obtain service information corresponding to a preset user group, encode the service information to obtain a fee control rule code, and determine fee control capability according to the fee control rule code;
the performance process control module 402 is configured to analyze the fee control capability, and control a performance process corresponding to the preset user group according to an analysis result to obtain performance data;
the risk occurrence rate calculating module 403 is configured to calculate a risk occurrence rate of the performing process according to the performance data, and generate an initial fee control rule according to the fee control rule code and the fee control capability;
the fee control rule optimizing module 404 is configured to optimize the initial fee control rule by using the risk occurrence rate to obtain a standard fee control rule.
In detail, each module in the management system 400 for automatically generating the fee control rule in the embodiment of the present application adopts the same technical means as the management method for automatically generating the fee control rule in the drawings when in use, and can generate the same technical effects, which are not described herein.
Fig. 5 is a schematic structural diagram of an electronic device implementing a management method for automatically generating a fee control rule according to an embodiment of the present application.
The electronic device 500 may comprise a processor 501, a memory 502, a communication bus 503 and a communication interface 504, and may further comprise a computer program stored in the memory 502 and executable on the processor 501, such as a management program for automatically generating a fee control rule.
The processor 501 may be formed by an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or may be formed by a plurality of integrated circuits packaged with the same function or different functions, including one or more central processing units (Central Processing Unit, CPU), a microprocessor, a digital processing chip, a graphics processor, a combination of various control chips, and so on. The processor 501 is a Control Unit (Control Unit) of the electronic device, connects various components of the entire electronic device using various interfaces and lines, executes or executes programs or modules (e.g., a management program or the like that automatically generates fee Control rules) stored in the memory 502, and invokes data stored in the memory 502 to perform various functions of the electronic device and process the data.
The memory 502 includes at least one type of readable storage medium including flash memory, a removable hard disk, a multimedia card, a card memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disk, optical disk, etc. The memory 502 may in some embodiments be an internal storage unit of the electronic device, such as a mobile hard disk of the electronic device. The memory 502 may also be an external storage device of the electronic device in other embodiments, for example, a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like. Further, the memory 502 may also include both internal storage units and external storage devices of the electronic device. The memory 502 may be used to store not only application software installed in an electronic device and various data, such as code of a management program that automatically generates a fee control rule, but also temporarily store data that has been output or is to be output.
The communication bus 503 may be a peripheral component interconnect standard (Peripheral Component Interconnect, PCI) bus or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. The bus is arranged to enable connected communication between the memory 502 and the at least one processor 501 etc.
The communication interface 504 is used for communication between the electronic device and other devices, including network interfaces and user interfaces. Optionally, the network interface may include a wired interface and/or a wireless interface (e.g., WI-FI interface, bluetooth interface, etc.), typically used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a Display (Display), an input unit such as a Keyboard (Keyboard), or alternatively a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like. The display may also be referred to as a display screen or display unit, as appropriate, for displaying information processed in the electronic device and for displaying a visual user interface.
Fig. 5 illustrates only an electronic device having components, and it will be appreciated by those skilled in the art that the configuration illustrated in fig. 5 is not limiting of the electronic device 500 and may include fewer or more components than illustrated, or may combine certain components, or a different arrangement of components.
For example, although not shown, the electronic device may further include a power source (such as a battery) for powering the respective components, and the power source may be logically connected to the at least one processor 501 through a power management system, so as to perform functions of charge management, discharge management, and power consumption management through the power management system. The power supply 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. The electronic device may further include various sensors, bluetooth modules, wi-Fi modules, etc., which are not described herein.
It should be understood that the embodiments described are for illustrative purposes only and are not limited to this configuration in the scope of the patent application.
The management program stored in the memory 502 of the electronic device 500 for automatically generating the fee control rules is a combination of instructions that, when executed in the processor 501, may implement:
acquiring service information corresponding to a preset user group, coding the service information to obtain a fee control rule code, and determining fee control capability according to the fee control rule code;
analyzing the cost control capability, and controlling the performance process corresponding to the preset user group according to the analysis result to obtain performance data;
calculating the risk occurrence rate of the performance process according to the performance data, and generating an initial cost control rule according to the cost control rule code and the cost control capability;
and optimizing the initial fee control rule by using the risk occurrence rate to obtain a standard fee control rule.
In particular, the specific implementation method of the above instruction by the processor 501 may refer to the description of the relevant steps in the corresponding embodiment of the drawings, which is not repeated herein.
Further, the modules/units integrated with the electronic device 500 may be stored in a computer readable storage medium if implemented in the form of software functional units and sold or used as a stand alone product. The computer readable storage medium may be volatile or nonvolatile. For example, the computer readable medium may include: any entity or system capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM).
The present application also provides a computer readable storage medium storing a computer program which, when executed by a processor of an electronic device, can implement:
acquiring service information corresponding to a preset user group, coding the service information to obtain a fee control rule code, and determining fee control capability according to the fee control rule code;
analyzing the cost control capability, and controlling the performance process corresponding to the preset user group according to the analysis result to obtain performance data;
calculating the risk occurrence rate of the performance process according to the performance data, and generating an initial cost control rule according to the cost control rule code and the cost control capability;
and optimizing the initial fee control rule by using the risk occurrence rate to obtain a standard fee control rule.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus, system and method may be implemented in other manners. For example, the system embodiments described above are merely illustrative, e.g., the division of the modules is merely a logical function division, and other manners of division may be implemented in practice.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units can be realized in a form of hardware or a form of hardware and a form of software functional modules.
It will be evident to those skilled in the art that the application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential characteristics thereof.
The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
The embodiment of the application can acquire and process the related data based on the artificial intelligence technology. Among these, artificial intelligence (Artificial Intelligence, AI) is the theory, method, technique and application system that uses a digital computer or a digital computer-controlled machine to simulate, extend and extend human intelligence, sense the environment, acquire knowledge and use knowledge to obtain optimal results.
Furthermore, it is evident that the word "comprising" does not exclude other elements or steps, and that the singular does not exclude a plurality. Multiple units or systems as set forth in the system claims may also be implemented by means of one unit or system in software or hardware. The terms first, second, etc. are used to denote a name, but not any particular order.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present application and not for limiting the same, and although the present application has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present application without departing from the spirit and scope of the technical solution of the present application.
Claims (10)
1. A method of managing automatically generated fee control rules, the method comprising:
acquiring service information corresponding to a preset user group, coding the service information to obtain a fee control rule code, and determining fee control capability according to the fee control rule code;
analyzing the cost control capability, and controlling the performance process corresponding to the preset user group according to the analysis result to obtain performance data;
calculating the risk occurrence rate of the performance process according to the performance data, and generating an initial cost control rule according to the cost control rule code and the cost control capability;
and optimizing the initial fee control rule by using the risk occurrence rate to obtain a standard fee control rule.
2. The method for automatically generating a fee control rule according to claim 1, wherein the encoding the service information to obtain a fee control rule code comprises:
randomly selecting a target user from the preset user group, and selecting target service information corresponding to the target user from the service information;
classifying the target service information to obtain a target service type;
sequencing the target service information to obtain an information sequence;
and generating an information binary group according to the target service type and the information sequence, and taking the information binary group as a charge control rule code.
3. The method of claim 1, wherein determining the fee control capability based on the fee control rule code comprises:
matching the fee control rule code with a preset capacity pool to obtain matching capacity;
setting a capability bit according to the matching capability, and generating a fee control capability according to the capability bit.
4. The method for automatically generating and managing fee control rules according to claim 3, wherein the matching the fee control rule code with a preset capability pool to obtain matching capability comprises:
acquiring a target service type corresponding to the charge control rule code and an alternative service type in the capability pool;
matching calculation is carried out on the target service type and the alternative service type, so that matching degree is obtained;
and selecting a standard service type from the alternative service types according to the matching degree, and extracting matching capacity from the capacity pool according to the standard service type.
5. The method for automatically generating fee control rules according to claim 1, wherein the controlling the performance process corresponding to the preset user group according to the analysis result to obtain performance data includes:
when the analysis result is that the capability bit corresponding to the fee control capability is opened, monitoring the performance process corresponding to the preset user group to obtain monitoring data;
and comparing and analyzing the monitoring data with preset standard data, and performing outlier processing on the monitoring data according to an analysis result to obtain performance data.
6. The method of claim 1, wherein the calculating the risk occurrence of the performance process from the performance data comprises:
acquiring historical data of a target user corresponding to the preset user group, and extracting default data in the historical data;
calculating the default probability corresponding to the target user according to the historical data and the default data;
and calculating the risk occurrence rate of the performance process according to the breach probability, the breach data and the performance data.
7. The method of claim 1, wherein generating an initial fee control rule based on the fee control rule code and the fee control capability comprises:
acquiring capability bits corresponding to the fee control capability based on the fee control rule codes, and acquiring service types corresponding to the capability bits;
setting service content according to the service type, and setting charging items and service fees according to the service content;
and generating a service scheme according to the service content, the charging item and the service cost, and taking the service scheme as an initial charge control rule.
8. A management system for automatically generating a fee control rule, the system comprising:
the charge control capability determining module is used for acquiring service information corresponding to a preset user group, coding the service information to obtain a charge control rule code, and determining charge control capability according to the charge control rule code;
the performance process control module is used for analyzing the cost control capability and controlling the performance process corresponding to the preset user group according to the analysis result to obtain performance data;
the risk occurrence rate calculation module is used for calculating the risk occurrence rate of the performance process according to the performance data and generating an initial cost control rule according to the cost control rule code and the cost control capability;
and the fee control rule optimizing module is used for optimizing the initial fee control rule by utilizing the risk occurrence rate to obtain a standard fee control rule.
9. An electronic device, the electronic device comprising:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of managing automatically generated rate controlling rules as claimed in any one of claims 1 to 7.
10. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the method of managing automatically generated fee control rules according to any one of claims 1 to 7.
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