Risk control method, device and equipment of power service platform and storage medium

Abstract

Embodiments of the present application disclose a risk control method, device and equipment of a power service platform and a storage medium. The method comprises: determining service index items corresponding to each service content in the power service platform, determining the occurrence probability and the influence degree value of each service index item based on historical service data stored by the power service platform; determining the risk degree of each service index item based on the occurrence probability and the influence degree value; and controlling the power service platform based on the risk degree corresponding to each service index item. The technical solution of the embodiments of the present application can determine the risk degree of the service index error through the occurrence probability and the influence degree value, effectively and accurately control each service index based on the risk degree, and ensure the safety of the power service platform in the service operation process.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of risk control technology, and in particular to a risk control method, apparatus, equipment and storage medium for a power business platform. Background Technology

[0002] Market-based transactions require accurate statistics on electricity supply and consumption, as well as accurate calculations and settlements for electricity fees by both electricity buyers and retailers. Errors in these transactions can have a significant impact on the electricity market. Therefore, risk control for platforms handling electricity supply statistics and fee calculations is a crucial aspect of current operations.

[0003] In the current technological field, there is no systematic approach to risk prediction and risk management for power business platforms in the context of market-based trading. Therefore, how to efficiently and accurately control the risks of power business platforms has become an urgent problem to be solved. Summary of the Invention

[0004] This invention provides a risk control method, apparatus, equipment, and storage medium for a power business platform, enabling effective and accurate management and control of various business indicators based on the determined risk level, thereby ensuring the security of the power business platform during business operations.

[0005] In a first aspect, embodiments of the present invention provide a risk control method for a power business platform, comprising:

[0006] The business indicator items corresponding to each business content in the power business platform are determined, and based on the historical business data stored in the power business platform, the probability of error and the degree of impact of each business indicator item are determined.

[0007] Based on the probability of occurrence and the degree of impact, the risk level of errors in each of the business indicators is determined.

[0008] The power business platform is controlled based on the risk level corresponding to each of the aforementioned business indicators.

[0009] Secondly, embodiments of the present invention also provide a risk control device for a power business platform, the device comprising:

[0010] The business indicator module is used to determine the business indicator items corresponding to each business content in the power business platform. Based on the historical business data stored in the power business platform, it determines the probability of error occurrence and the degree of impact of each business indicator item.

[0011] The risk level determination module is used to determine the risk level of errors in each of the business indicators based on the probability of occurrence and the impact level values.

[0012] The platform control module is used to control the power business platform based on the risk level corresponding to each of the aforementioned business indicator items.

[0013] Thirdly, embodiments of the present invention also provide an electronic device, the electronic device comprising:

[0014] One or more processors;

[0015] Storage device for storing one or more programs;

[0016] When the one or more programs are executed by the one or more processors, the one or more processors implement the risk control method of the power business platform provided in any embodiment of the present invention.

[0017] Fourthly, embodiments of the present invention also provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the risk control method of the power business platform provided in any embodiment of the present invention.

[0018] This invention provides a risk control method for a power business platform. It identifies business indicators corresponding to each business function within the platform, determines the probability and impact of errors in each indicator based on historical business data stored on the platform, and then determines the risk level of errors in each indicator based on these probabilities and impact values. Finally, it controls the power business platform based on the risk level of each indicator. This invention determines the risk level of errors in business indicators by using probability and impact values, enabling effective and accurate control over each indicator based on its risk level, thus ensuring the security of the power business platform during business operations.

[0019] Furthermore, the risk control device, equipment, and storage medium for a power business platform provided by this invention correspond to the above-mentioned method and have the same beneficial effects. Attached Figure Description

[0020] To more clearly illustrate the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 A flowchart illustrating a risk control method for a power business platform provided in an embodiment of the present invention;

[0022] Figure 2A flowchart illustrating another risk control method for a power business platform provided in an embodiment of the present invention;

[0023] Figure 3 A structural diagram of a risk control device for a power business platform provided in an embodiment of the present invention;

[0024] Figure 4 This is a structural diagram of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0025] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and not intended to limit it. Furthermore, it should be noted that, for ease of description, the accompanying drawings show only the parts relevant to the present invention, and not all of the structures.

[0026] It should also be noted that, for ease of description, the accompanying drawings show only the parts relevant to the invention and not all of them. Before discussing exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe the operations (or steps) as sequential processes, many of the operations can be performed in parallel, concurrently, or simultaneously. Furthermore, the order of the operations can be rearranged. The process can be terminated when its operation is completed, but it may also have additional steps not included in the drawings. The process may correspond to a method, function, procedure, subroutine, subprogram, etc.

[0027] To enable those skilled in the art to better understand the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0028] Example 1

[0029] Figure 1 This is a flowchart illustrating a risk control method for a power business platform according to an embodiment of the present invention. The method can be executed by a risk control device of the power business platform, which can be implemented through software and / or hardware and can be configured in a terminal and / or server to implement the risk control method for the power business platform in this embodiment of the invention.

[0030] like Figure 1 As shown, the method in this embodiment may specifically include:

[0031] S101. Determine the business indicator items corresponding to each business content in the power business platform, and determine the probability of error occurrence and the degree of impact of each business indicator item based on the historical business data stored in the power business platform.

[0032] In this embodiment of the invention, the power business platform may specifically be a power market trading platform, used to provide business operations such as file and ledger management, metering management and meter reading, and electricity fee management. Optionally, determining the business indicator items corresponding to each business content in the power business platform includes: determining the primary indicator items corresponding to each business content in the power business platform; and determining the secondary indicator items contained in the primary indicator items.

[0033] Specifically, the business content may include at least one of the following: file management content, meter reading content, metering operation content, business change content, user billing content, and environmental node conversion content. Therefore, at least one of the following can be determined in the power business platform: file management, meter reading, metering operation, business change, user billing, and environmental node conversion.

[0034] For example, each primary indicator can be further subdivided into at least one secondary indicator. For file management, it can be divided into at least one of the following: multiplier error, non-standard primary / backup terminal identification, missing data collection relationship, inconsistent meter reading sections for related users, incorrect meter reading cycle, incorrect power adjustment standard for comprehensive electricity price users, failure to submit user self-stop notification, and incorrect transaction user identification.

[0035] For meter reading indicators, the secondary indicators can be divided into at least one of the following: problems with the metering automation system data acquisition, terminal not online, no meter code when the terminal is online, missing terminal online, incorrect meter code acquisition, meter current loss, voltage loss, current overload, abnormal reverse power, abnormal power, meter code not equal to total power during time-sharing, and abnormal differential power of terminal meter.

[0036] For metering operation indicators, the secondary indicators can be divided into at least one of the following: incorrect on-site wiring, loose on-site wiring, incorrect meter reading, and inconsistency between work order reading and date.

[0037] For business change indicators, the secondary indicators can be divided into at least one of the following: name change and transfer, splitting and merging accounts, abnormal electricity bill settlement for account cancellation, in-transit process affecting settlement, meter replacement process not archived in a timely manner, abnormal entry of work order code, incorrect selection of basic electricity bill calculation method for changing the type of work order, failure to update fields that should be updated in the marketing system file after the process is archived, modification of fields that should not be changed, and failure to synchronize the sealing of the metering system file after the process is archived.

[0038] For user billing indicators, the secondary indicators can be divided into at least one of the following: failure to push frozen meter code, missing frozen meter code, incorrect frozen meter code, market-based transaction account metering point information, incorrect electricity consumption report, missed electricity consumption report, incorrect billing file leading to incorrect electricity consumption and electricity charge calculation, incorrect electricity consumption and electricity charge calculation due to change and refund / refund business, and price difference electricity consumption error.

[0039] For the link node conversion indicators, the secondary indicators can be divided into at least one of the following: failure to clean up work orders, no files found, meter codes, abnormal rate changes requiring early rectification, failure to confirm electricity consumption and price difference transfer with users in advance, missing user default penalty settings, failure to provide timely feedback on the "Market Transaction Agency Relationship Abnormal List Template" form, failure to archive work orders on time, failure to issue the freeze code verification form on time, and failure to complete the "On-site Meter Reading Failure Analysis Work Order" on time.

[0040] In practical implementation, historical business data stored in the power business platform can be obtained. From this data, historical error data where errors occurred can be identified. Based on the volume of both historical business data and historical error data, the probability of errors occurring for each business indicator can be determined. Furthermore, based on the volume of historical modification data generated when historical error data occurs, the impact level of each business indicator can be determined. Finally, the volume of historical modification data generated when modifying and eliminating the impact of historical error data reflects the degree of impact.

[0041] Optionally, based on historical business data stored on the power business platform, the probability of errors occurring for each business indicator item is determined, including: calculating the number of errors occurring for each business indicator item in the historical business data and the total number of processing times for each business indicator item; determining the ratio of the number of errors to the total number of processing times, and determining the probability of occurrence based on the ratio.

[0042] Specifically, the probability of an error occurring for a business metric can be determined by the ratio of the number of errors corresponding to that metric to the total number of processing times in historical business data. For example, the probability can be displayed as a percentage.

[0043] S102. Based on the probability of occurrence and the degree of impact, determine the risk level of errors in each business indicator.

[0044] In practice, both the probability of occurrence and the magnitude of impact can be considered to determine the risk level of errors for each business indicator. For example, the probability of occurrence and the magnitude of impact can be multiplied, added, or weighted and averaged to determine the risk level of errors for each business indicator.

[0045] S103. Control the power business platform based on the risk level corresponding to each business indicator.

[0046] In practice, based on the risk level corresponding to each business indicator, a control scheme corresponding to each business indicator can be determined from a pre-stored set of control schemes, and the power business platform can be controlled based on the determined control scheme. Specifically, the control scheme includes control methods, control human resources, and control time resources.

[0047] Optionally, the power business platform can be controlled based on the risk level corresponding to each business indicator, including: determining whether there are any business indicator items with a risk level greater than the threshold; if so, the business indicator items with a risk level greater than the threshold are used as target control indicators, and when the power business platform triggers an operation corresponding to the target control indicator, each step of the operation is monitored.

[0048] Specifically, a risk threshold can be preset. When the risk level of a business indicator is less than the threshold, it indicates that the risk of that business indicator is low and no risk control operation is required. When the risk level of a business indicator is greater than or equal to the threshold, it indicates that the business indicator is a dangerous business indicator and requires risk control. In this case, the business indicator can be designated as a target control indicator. When the power business platform triggers an operation corresponding to the target control indicator, each step of the operation can be monitored to ensure that the target control indicator is completed correctly.

[0049] Optionally, control information containing the risk level corresponding to the target control indicators can be generated and sent to the platform management terminal to provide prompts to management personnel. Specifically, to ensure the successful completion of target control indicators and mitigate operational risks, management personnel can monitor and manage the operation process of the target control indicators. After the target control indicators are determined, control information containing the risk level corresponding to the target control indicators can be generated. By sending the control information to the platform management terminal, management personnel can promptly understand the indicators with potential risks, focus on analyzing them, and conduct supervision and control.

[0050] For example, managers can identify the root causes of problems with target control indicators, clarify risk points, root causes, responsible units, risk control time points, control methods, and control measures, and implement risk management responsibilities to formulate risk control strategies and measures.

[0051] This invention provides a risk control method for a power business platform. It identifies business indicators corresponding to each business function within the platform, determines the probability and impact of errors in each indicator based on historical business data stored on the platform, and then determines the risk level of errors in each indicator based on these probabilities and impact values. Finally, it controls the power business platform based on the risk level of each indicator. This invention determines the risk level of errors in business indicators by using probability and impact values, enabling effective and accurate control over each indicator based on its risk level, thus ensuring the security of the power business platform during business operations.

[0052] Example 2

[0053] Figure 2 This is a flowchart illustrating another risk control method for a power business platform provided by an embodiment of the present invention. This embodiment is based on and optimized from the above-described technical solutions. Optionally, determining the risk level of errors in each business indicator item based on the probability of occurrence and the degree of impact includes: determining the risk value of errors in the business indicator item based on the probability of occurrence and the degree of impact; determining a risk level interval containing the risk value from a pre-established risk level interval as a target level interval, and determining the degree corresponding to the target level interval as the risk level. The explanations of terms that are the same as or corresponding to those in the above embodiments are not repeated here.

[0054] like Figure 2 As shown, the method in this embodiment may specifically include:

[0055] S201. Determine the business indicator items corresponding to each business content in the power business platform. Based on the historical business data stored in the power business platform, determine the probability of error occurrence and the degree of impact of each business indicator item.

[0056] S202. Based on the probability of occurrence and the degree of impact, determine the risk value of errors in business indicators.

[0057] Optionally, based on the probability of occurrence and the degree of impact, the risk value of the business indicator item is determined, including: calculating the product between the probability of occurrence and the degree of impact, and determining the product as the risk value corresponding to the business indicator item.

[0058] S203. Determine the risk level range containing the risk value from the pre-established risk level range as the target level range, and determine the level corresponding to the target level range as the risk level.

[0059] In practice, risk level ranges can be pre-established. Specifically, the risk level range can be divided into 5 levels, with the severity of the risk increasing progressively. When establishing the risk level range, the probability of occurrence and the degree of impact can be classified into different levels. For example, the probability of occurrence can be divided into 5 levels: very rare, rare, moderate, frequent, and very frequent; the degree of impact can be divided into very minor, minor, moderate, severe, and very severe.

[0060] Historical business data can be classified based on the probability level and the degree of impact. Based on the historical business data of each category obtained after classification, a function fit can be performed between the level and the probability of occurrence and the degree of impact, thereby determining the functional formula between the probability of occurrence and the probability level, and the functional formula between the degree of impact and the degree of impact.

[0061] For example, the functional formula between the degree of influence and the level of influence can be:

[0062]

[0063] Where S represents the degree of influence, x1 represents the level of influence, and x1 takes the value [1, 2, 3, 4, 5].

[0064] For example, the functional formula for the probability of occurrence and the probability level can be:

[0065]

[0066] Where P represents the probability of occurrence, and x2 represents the probability level, with x2 taking values ​​of [1, 2, 3, 4, 5].

[0067] Based on the relationship between probability of occurrence, degree of impact, and risk level, risk level ranges are determined. Table 1 is a risk level evaluation table. As shown in Table 1, "1", "2", "3", "4", and "5" represent risk levels, with different risk levels corresponding to different risk degrees. The risk degrees increase progressively, and can be divided into five risk levels: minor, small, medium, slightly high, and high. Based on Table 1, risk level ranges corresponding to each of the five risk degrees can be determined. The product of different probabilities of occurrence and degrees of impact corresponds to different risk level ranges. A risk level range containing the risk value can be determined from the pre-established risk level ranges as the target level range, and the degree corresponding to the target level range is defined as the risk level.

[0068] Table 1

[0069]

[0070] S204. Control the power business platform based on the risk level corresponding to each business indicator.

[0071] This invention provides a risk value that can be obtained by multiplying the determined probability of occurrence by the magnitude of its impact. The risk level can then be accurately and effectively determined using this risk value and a pre-established risk level range. Based on this risk level, various business indicators can be controlled.

[0072] Example 3

[0073] Figure 3 This diagram illustrates the structure of a risk control device for a power business platform, provided in an embodiment of the present invention. This device is used to execute the risk control method for a power business platform provided in any of the above embodiments. This device and the risk control method for a power business platform in the above embodiments belong to the same inventive concept. Details not fully described in the embodiments of the risk control device for a power business platform can be found in the embodiments of the risk control method for a power business platform. Specifically, the device may include:

[0074] The business indicator module 10 is used to determine the business indicator items corresponding to each business content in the power business platform. Based on the historical business data stored in the power business platform, it determines the probability of error occurrence and the degree of impact of each business indicator item.

[0075] The risk level determination module 11 is used to determine the risk level of errors in each business indicator item based on the probability of occurrence and the degree of impact.

[0076] Platform control module 12 is used to control the power business platform based on the risk level corresponding to each business indicator item.

[0077] Based on any optional technical solution in the embodiments of the present invention, the risk level determination module 11 optionally includes:

[0078] The risk value unit is used to determine the risk value of an error in a business indicator based on the probability of occurrence and the degree of impact. The risk level range containing the risk value is determined from the pre-established risk level range as the target level range, and the degree corresponding to the target level range is determined as the risk level.

[0079] Based on any optional technical solution in the embodiments of the present invention, optionally, the risk value determination unit includes:

[0080] The product calculation unit is used to calculate the product between the probability of occurrence and the degree of impact, and the product is determined as the risk value corresponding to the business indicator item.

[0081] Based on any optional technical solution in the embodiments of the present invention, optionally, the module 10 for determining business indicator items includes:

[0082] First-level indicator units are determined to identify the first-level indicator items corresponding to each business content in the power business platform. The first-level indicator items include at least one of the following: file management, meter reading, metering operations, business changes, user billing, and process node conversion. Second-level indicator items contained in the first-level indicator items are then determined.

[0083] Based on any optional technical solution in the embodiments of the present invention, optionally, the module 10 for determining business indicator items includes:

[0084] The probability of occurrence unit is determined to calculate the number of errors and the total number of processing operations for each business indicator item in historical business data; the ratio of the number of errors to the total number of processing operations is determined, and the probability of occurrence is determined based on the ratio.

[0085] Based on any optional technical solution in the embodiments of the present invention, optionally, the platform control module 12 includes:

[0086] The monitoring unit is used to determine whether there are any business indicators among the various business indicators whose risk level is greater than the threshold. If so, the business indicator whose risk level is greater than the threshold is taken as the target control indicator. When the power business platform triggers the operation corresponding to the target control indicator, the unit monitors each step of the operation.

[0087] Based on any optional technical solution in the embodiments of the present invention, the device may optionally further include:

[0088] The control information generation unit is used to generate control information containing the risk level corresponding to the target control indicators, and send the control information to the platform management terminal to prompt the management personnel.

[0089] The risk control device for a power business platform provided in this embodiment of the invention can implement the following method:

[0090] Identify the business indicators corresponding to each business content in the power business platform; based on the historical business data stored in the power business platform, determine the probability and impact of errors in each business indicator; based on the probability and impact, determine the risk level of errors in each business indicator; and based on the risk level corresponding to each business indicator, control the power business platform.

[0091] This invention determines the risk level of errors in business indicators by using probability and impact values. It can effectively and accurately control each business indicator based on the risk level, ensuring the security of the power business platform during business operations.

[0092] It is worth noting that in the embodiments of the risk control device of the above-mentioned power business platform, the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of each functional unit are only for easy differentiation and are not used to limit the scope of protection of the present invention.

[0093] Example 4

[0094] Figure 4 This is a structural diagram of an electronic device provided in an embodiment of the present invention. Figure 4 A block diagram of an exemplary electronic device 20 suitable for implementing embodiments of the present invention is shown. The illustrated electronic device 20 is merely an example and should not be construed as limiting the functionality and scope of the embodiments of the present invention.

[0095] like Figure 4As shown, the electronic device 20 is presented in the form of a general-purpose computing device. The components of the electronic device 20 may include, but are not limited to: one or more processors or processing units 201, system memory 202, and bus 203 connecting different system components (including system memory 202 and processing unit 201).

[0096] Bus 203 represents one or more of several bus architectures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any of the various bus architectures. For example, these architectures include, but are not limited to, the Industry Standard Architecture (ISA) bus, the Micro Channel Architecture (MAC) bus, the Enhanced ISA bus, the Video Electronics Standards Association (VESA) local bus, and the Peripheral Component Interconnect (PCI) bus.

[0097] Electronic device 20 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by electronic device 20, including volatile and non-volatile media, removable and non-removable media.

[0098] System memory 202 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 204 and / or cache memory 205. Electronic device 20 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, storage system 206 may be used to read and write non-removable, non-volatile magnetic media. Disk drives for reading and writing to removable non-volatile disks (e.g., "floppy disks") and optical disk drives for reading and writing to removable non-volatile optical disks (e.g., CD-ROMs, DVD-ROMs, or other optical media) may be provided. In these cases, each drive may be connected to bus 203 via one or more data media interfaces. Memory 202 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of the embodiments of the present invention.

[0099] A program / utility 208 having a set (at least one) of program modules 207 may be stored, for example, in memory 202. Such program modules 207 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include an implementation of a network environment. Program modules 207 typically perform the functions and / or methods described in the embodiments of the present invention.

[0100] Electronic device 20 can also communicate with one or more external devices 209 (e.g., keyboard, pointing device, display 210, etc.), and with one or more devices that enable a user to interact with electronic device 20, and / or with any device that enables electronic device 20 to communicate with one or more other computing devices (e.g., network card, modem, etc.). This communication can be performed via input / output (I / O) interface 211. Furthermore, electronic device 20 can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) via network adapter 212. As shown, network adapter 212 communicates with other modules of electronic device 20 via bus 203. It should be understood that other hardware and / or software modules can be used in conjunction with electronic device 20, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0101] The processing unit 201 executes various functional applications and data processing by running programs stored in the system memory 202.

[0102] The electronic device provided by this invention can implement the following method: determining the business indicator items corresponding to each business content in the power business platform; determining the probability of error occurrence and the degree of impact of each business indicator item based on the historical business data stored in the power business platform; determining the risk level of error occurrence of each business indicator item based on the probability of occurrence and the degree of impact; and controlling the power business platform based on the risk level corresponding to each business indicator item.

[0103] This invention determines the risk level of errors in business indicators by using probability and impact values. It can effectively and accurately control each business indicator based on the risk level, ensuring the security of the power business platform during business operations.

[0104] Example 6

[0105] This invention provides a storage medium containing computer-executable instructions, which, when executed by a computer processor, are used to perform a risk control method for a power business platform. The method includes:

[0106] Identify the business indicators corresponding to each business content in the power business platform; based on the historical business data stored in the power business platform, determine the probability and impact of errors in each business indicator; based on the probability and impact, determine the risk level of errors in each business indicator; and based on the risk level corresponding to each business indicator, control the power business platform.

[0107] This invention determines the risk level of errors in business indicators by using probability and impact values. It can effectively and accurately control each business indicator based on the risk level, ensuring the security of the power business platform during business operations.

[0108] Of course, the computer-executable instructions provided in the embodiments of the present invention are not limited to the method operations described above, but can also execute related operations in the risk control method of the power business platform provided in any embodiment of the present invention.

[0109] The computer storage medium of this invention can be any combination of one or more computer-readable media. A computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0110] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, capable of sending, propagating, or transmitting programs for use by or in connection with an instruction execution system, apparatus, or device.

[0111] Program code contained on a computer-readable medium may be transmitted using any suitable medium, including—but not limited to—wireless, wire, optical fiber, RF, etc., or any suitable combination thereof.

[0112] Computer program code for performing the operations of embodiments of the present invention can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0113] Note that the above description is merely a preferred embodiment of the present invention and the technical principles employed. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions can be made without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments, and may include many other equivalent embodiments without departing from the concept of the present invention, the scope of which is determined by the scope of the appended claims.

Claims

1. A risk control method for a power business platform, characterized in that, include: The business indicator items corresponding to each business content in the power business platform are determined, and based on the historical business data stored in the power business platform, the probability of error and the degree of impact of each business indicator item are determined. Based on the probability of occurrence and the degree of impact, the risk level of errors in each of the business indicators is determined. The power business platform is controlled based on the risk level corresponding to each of the aforementioned business indicators. The process of determining the business indicator items corresponding to each business content in the power business platform includes: Identify the primary indicator items corresponding to each business content in the power business platform; wherein, the primary indicator items include at least one of the following: file management, meter reading, metering operations, business changes, user billing, and process node conversion; Determine the secondary indicator items contained in the primary indicator items respectively; The determination of the impact value of each business indicator item based on historical business data stored on the power business platform includes: Based on the amount of historical modified data generated when historical error data occurs in the historical business data, the impact value of each of the business indicators is determined. The determination of the risk level of errors for each of the aforementioned business metrics based on the probability of occurrence and the magnitude of impact includes: Calculate the product between the probability of occurrence and the degree of impact, and determine the product as the risk value corresponding to the business indicator item; Within a pre-established range of risk levels, a range of risk levels containing the risk value is identified as a target range of risk levels, and the level corresponding to the target range of risk levels is defined as the risk level.

2. The method according to claim 1, characterized in that, The determination of the probability of error occurrence for each of the aforementioned business indicators based on historical business data stored on the power business platform includes: Calculate the number of errors that occurred for each of the aforementioned business metrics in the historical business data and the total number of times the aforementioned business metrics were processed; Determine the ratio of the number of errors to the total number of processing operations, and determine the probability of occurrence based on the ratio.

3. The method according to claim 1, characterized in that, The control of the power business platform based on the risk level corresponding to each of the aforementioned business indicator items includes: Determine whether any of the aforementioned business indicator items have a risk level greater than the threshold. If so, business indicators with a risk level greater than the threshold will be used as target control indicators. When the power business platform triggers an operation corresponding to the target control indicator, each step of the operation will be monitored.

4. The method according to claim 3, characterized in that, Also includes: Control information containing the risk level corresponding to the target control indicator is generated, and the control information is sent to the platform management terminal to prompt the management personnel.

5. A risk control device for a power business platform, characterized in that, include: The business indicator module is used to determine the business indicator items corresponding to each business content in the power business platform. Based on the historical business data stored in the power business platform, it determines the probability of error occurrence and the degree of impact of each business indicator item. The risk level determination module is used to determine the risk level of each of the business indicator items based on the occurrence probability and the impact level value. The platform control module is used to control the power business platform based on the risk level corresponding to each of the aforementioned business indicator items. The module for determining business metrics includes: First-level indicator units are determined to identify the first-level indicator items corresponding to each business content in the power business platform; wherein, the first-level indicator items include at least one of file management, meter reading, metering operations, business changes, user billing, and link node conversion; and second-level indicator items contained in the first-level indicator items are determined respectively. The determination of the impact value of each business indicator item based on historical business data stored on the power business platform includes: Based on the amount of historical modified data generated when historical error data occurs in the historical business data, the impact value of each of the business indicators is determined. The risk level determination module is specifically used for: The risk value is determined by calculating the product between the probability of occurrence and the degree of impact, and the product is determined as the risk value corresponding to the business indicator item; a risk level interval containing the risk value is determined from the pre-established risk level interval as the target level interval, and the degree corresponding to the target level interval is determined as the risk level.

6. An electronic device, characterized in that, include: One or more processors; Memory, used to store one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the risk control method for the power business platform as described in any one of claims 1-4.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the risk control method for the power business platform as described in any one of claims 1-4.

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