CN115293526A

CN115293526A - Service early warning method, device and system

Info

Publication number: CN115293526A
Application number: CN202210843498.2A
Authority: CN
Inventors: 张蕊倚; 郭懋林; 曾纪才; 曾明军
Original assignee: Beijing Ctj Info Tech Co ltd
Current assignee: Beijing Ctj Info Tech Co ltd
Priority date: 2022-07-18
Filing date: 2022-07-18
Publication date: 2022-11-04

Abstract

The disclosure relates to a service early warning method, a device and a system. Relates to the technical field of information. The service early warning method comprises the following steps: monitoring at least one business event of an object to be monitored in a business system and business data of each business event; determining whether an early warning rule associated with the business event exists or not aiming at each business event; and when the early warning rule associated with the business event exists and the business data of the business event meets the associated early warning rule, early warning processing is carried out on the business event. Therefore, the service event and the service data of the service event are monitored, the service data meeting the early warning rule are found in time, early warning is carried out on the service event corresponding to the service data, and the standard execution of the service is realized.

Description

Service early warning method, device and system

Technical Field

The present disclosure relates to the field of information technologies, and in particular, to a service early warning method and apparatus, an electronic device, and a storage medium.

Background

At present, the development of informatization at the present stage is a trend of transformation development of various industries, and informatization in the financial field is also continuously improved. Capital monitoring is an important content of execution management of financial budgets, and is vital to dynamically monitor and analyze portal budget funds, transferred payment funds and the like according to the financial budgets, a national bank management system and relevant financial management regulations and by means of an information system. Financial services face many risks, and the execution of the services is not standard enough, so that early warning and monitoring are needed for the services before, during and after the events.

Disclosure of Invention

In order to solve the above problems, the present disclosure provides a service early warning method, device, and system, which can monitor a service event and service data of the service event, and perform early warning processing on the service event when an early warning rule associated with the service event exists and the service data of the service event satisfies the associated early warning rule, so as to reduce the occurrence rate of service risks. The technical scheme of the disclosure is as follows:

according to a first aspect of the embodiments of the present disclosure, a method for service early warning is provided, including:

monitoring at least one business event of an object to be monitored in a business system and business data of each business event;

determining whether an early warning rule related to each business event exists or not;

and when the early warning rule associated with the business event exists and the business data of the business event meets the associated early warning rule, performing early warning processing on the business event.

In a possible embodiment, the performing early warning processing for the service event includes:

determining an early warning level for the business event and an early warning mode corresponding to the early warning level according to the early warning rule associated with the business event;

and aiming at the service event, carrying out early warning processing according to the early warning mode.

In a possible embodiment, before monitoring at least one business event of an object to be monitored in the business system and business data of each business event, the method further includes:

determining early warning configuration related information in the service system;

wherein the early warning configuration related information may include at least one of the following information: the method comprises the steps of object configuration to be monitored, service event configuration, early warning rule configuration, association rules of service events and early warning rules and early warning level configuration.

In a possible implementation manner, the number of the early warning levels is at least one, and different early warning levels correspond to different early warning manners.

In a possible embodiment, one of the business events is associated with at least one of the early warning rules, and one of the early warning rules is associated with at least one of the business events.

In one possible embodiment, the method further comprises:

receiving an abnormal data query instruction;

obtaining abnormal data according to the abnormal data query instruction, wherein the abnormal data comprises at least one of the following items: and the early warning processing result comprises a service event corresponding to the early warning processing result and service data of the service event.

According to a second aspect of the embodiments of the present disclosure, there is provided a service early warning apparatus, including:

the monitoring module is used for monitoring at least one business event of an object to be monitored in a business system and business data of each business event;

the first determining module is used for determining whether an early warning rule related to each business event exists or not;

and the processing module is used for carrying out early warning processing on the business event when the early warning rule associated with the business event exists and the business data of the business event meets the associated early warning rule.

In one possible implementation, the processing module is specifically configured to,

In one possible embodiment, the apparatus further comprises: the second determining module is used for determining early warning configuration related information in the service system;

wherein the early warning configuration related information may include at least one of the following information: the method comprises the steps of object configuration to be monitored, service event configuration, early warning rule configuration, association rules of service events and early warning rules, and early warning level configuration.

In a possible embodiment, the apparatus further comprises: the device comprises a receiving module and an obtaining module;

the receiving module is used for receiving an abnormal data query instruction;

the obtaining module is configured to obtain abnormal data according to the abnormal data query instruction, where the abnormal data includes at least one of the following: the early warning processing result, the service event corresponding to the early warning processing result and the service data of the service event.

According to a third aspect of the embodiments of the present disclosure, a service early warning platform and a service system are provided;

the service early warning platform is connected to the service system, and is configured to execute the service early warning method according to any one of the first aspect.

According to a fourth aspect of the embodiments of the present disclosure, there is provided an electronic apparatus including:

a processor;

a memory for storing the processor-executable instructions;

wherein the processor is configured to execute the instructions to implement the traffic alerting method of any of the first aspects.

According to a fifth aspect of embodiments of the present disclosure, there is provided a computer-readable storage medium, wherein instructions, when executed by a processor of an electronic device, enable the electronic device to perform the business warning method according to any one of the first aspect.

The technical scheme provided by the embodiment of the disclosure at least brings the following beneficial effects:

in the embodiment of the disclosure, at least one business event of an object to be monitored in a business system and business data of each business event are monitored; determining whether an early warning rule related to the business event exists or not aiming at each business event; and when the early warning rule associated with the business event exists and the business data of the business event meets the associated early warning rule, early warning processing is carried out on the business event. Therefore, the service event and the service data of the service event are monitored, the service data meeting the early warning rule are found in time, early warning is carried out on the service event corresponding to the service data, and the standard execution of the service is realized.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the disclosure and are not to be construed as limiting the disclosure.

FIG. 1 is a flow diagram illustrating a method of traffic alerting, according to an exemplary embodiment;

FIG. 2 is a business flow diagram illustrating a business warning method in accordance with an exemplary embodiment;

FIG. 3 is a flow diagram illustrating a business warning according to an exemplary embodiment;

FIG. 4 is a block diagram illustrating a traffic alerting device in accordance with an exemplary embodiment;

FIG. 5 is a block diagram illustrating a traffic alerting system in accordance with an exemplary embodiment;

FIG. 6 is a block diagram illustrating an electronic device in accordance with an example embodiment.

Detailed Description

In order to make the technical solutions of the present disclosure better understood by those of ordinary skill in the art, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings.

It should be noted that the terms "first," "second," and the like in the description and claims of the present disclosure and in the foregoing drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the disclosure described herein are capable of operation in sequences other than those illustrated or otherwise described herein. The implementations described in the exemplary embodiments below do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.

As known from the background art, financial services face many risks, and the execution of the services is not standardized enough, so that early warning and monitoring needs to be performed on the services before, during, and after the events. Based on this, the embodiments of the present disclosure provide a service early warning method, device, and system, which monitor a service event and service data of the service event, find the service data meeting an early warning rule in time, and perform early warning on the service event corresponding to the service data, thereby implementing standard execution of a service.

The following describes a service early warning method, device, and system provided by the embodiments of the present disclosure in detail with reference to the accompanying drawings.

Fig. 1 is a flowchart illustrating a service early warning method according to an exemplary embodiment, where the service early warning method may employ a service early warning platform, and the service early warning platform may be configured in an electronic device. As shown in fig. 1, the service early warning method may include the following steps:

step 101, at least one service event of an object to be monitored in a service system and service data of each service event are monitored.

The object to be monitored refers to a data source, such as a data table and a view, and there may be a plurality of objects to be monitored, that is, the electronic device may monitor a plurality of objects to be monitored. The electronic device can perform operations such as adding, modifying, deleting, importing, exporting, adding and inquiring on the object to be monitored, the importing of the object to be monitored can be performed by inputting information and importing through the excel module, and correspondingly, the exporting of the object to be monitored is an excel file.

The adding of the object to be monitored refers to adding field details of the object to be monitored, and the field details are used for distinguishing field column service types. In one embodiment, the query of the object to be monitored may be fuzzy query according to a data table or view information (chinese) and a monitoring data source. In one embodiment, the query of the object to be monitored can be performed by paging according to a data table or view information (Chinese), a monitoring data source.

The service event may include: authorized payment application entry, irregular monitoring events, direct payment application entry, and authorized payment application initial review. Different business events may correspond to different business data, for example, the business data entered by the authorized payment application may include: budget units, budget subjects, available plan lines, and total plan lines.

The electronic device can perform operations such as adding, modifying, deleting, inquiring and the like on the service event. The query business event can be subjected to fuzzy query or paging query according to query keywords, wherein the query keywords can be keywords such as a business event code, a business event name and the like.

In some embodiments, the process of the electronic device executing step 101 may be, for example, determining an early warning level for the business event and an early warning manner corresponding to the early warning level according to an early warning rule associated with the business event; and aiming at the service event, carrying out early warning treatment according to an early warning mode.

In some embodiments, before monitoring at least one business event of an object to be monitored in a business system and business data of each business event, the electronic device may further perform the following processes: determining early warning configuration related information in a service system; the early warning configuration related information may include at least one of the following information: the method comprises the steps of object configuration to be monitored, service event configuration, early warning rule configuration, association rules of service events and early warning rules, and early warning level configuration.

The number of the early warning levels is at least one, and different early warning levels correspond to different early warning modes. Wherein, the early warning level may include: the early warning method comprises the steps of red early warning, yellow early warning and blue early warning, wherein the early warning mode corresponding to the red early warning can be forbidden, the early warning mode corresponding to the yellow early warning can be frozen, and the early warning mode corresponding to the blue early warning can be reminding.

One business event is associated with at least one early warning rule, and one early warning rule is associated with at least one business event.

And 102, determining whether an early warning rule related to the business event exists or not for each business event.

In some embodiments, the electronic device may determine, for each service event, whether an early warning rule associated with the service event exists according to an association rule between the service event and the early warning rule, for example, the electronic device may query a service event list according to a service event code and a service event name, and determine whether an early warning rule associated with the service event exists in the service event list according to an association rule in the service event list.

In some embodiments, the electronic device may further perform operations such as configuring a service event association rule, deleting the service event association rule, configuring an early warning rule association service event, deleting the rule association service event, querying an early warning rule association service event list, and the like on the association rule. The query of the early warning rule associated service event list can be a fuzzy query or a paging query according to the query key words. Wherein, the query keyword may include: early warning rule codes, early warning rule names, early warning levels, early warning modes and other keywords.

And 103, performing early warning processing on the service event when the early warning rule associated with the service event exists and the service data of the service event meets the associated early warning rule.

Fig. 2 is a flow chart illustrating another traffic alerting method according to an example embodiment. As shown in fig. 2, the above method may include the steps of:

step 201, at least one service event of an object to be monitored in a service system and service data of each service event are monitored.

Step 202, for each business event, determining whether an early warning rule associated with the business event exists.

And 203, performing early warning processing on the service event when the early warning rule associated with the service event exists and the service data of the service event meets the associated early warning rule.

The service data of the service event subjected to early warning processing is abnormal data.

Step 204, receiving an abnormal data query instruction.

In some embodiments, the electronic device may receive an abnormal data query instruction sent by the service system to query abnormal data, so as to adjust the abnormal data.

Step 205, obtaining abnormal data according to the abnormal data query instruction, wherein the abnormal data includes at least one of the following items: and the early warning processing result, the service event corresponding to the early warning processing result and the service data of the service event.

Wherein, the early warning processing result may include: reminding, forbidding and freezing. Wherein, the abnormal data may further include: early warning level, early warning time, whether to invalidate. Wherein, the keywords of the query can include: early warning information, early warning level, whether to invalidate, date. The early warning information can be managed by the use specification. The query mode may include: fuzzy query and paging query.

In some embodiments, the electronic device queries according to the abnormal data query instruction to obtain the abnormal data list, so that the abnormal data in the abnormal data list can be modified in time to fulfill the purpose of standard execution.

It should be noted that, details of step 201, step 202, and step 203 may refer to step 101, step 102, and step 103 in the embodiment shown in fig. 1, and are not described in detail here.

In the embodiment of the disclosure, at least one service event of an object to be monitored in a service system and service data of each service event are monitored; determining whether an early warning rule related to the business event exists or not aiming at each business event; when an early warning rule associated with a business event exists and business data of the business event meets the associated early warning rule, early warning processing is carried out on the business event; receiving an abnormal data query instruction; acquiring abnormal data according to the abnormal data query instruction, wherein the abnormal data comprises at least one of the following items: and the early warning processing result, the service event corresponding to the early warning processing result and the service data of the service event. Therefore, the service data meeting the early warning rule is timely found by monitoring the service event and the service data of the service event, the early warning is carried out on the service event corresponding to the service data, and meanwhile, the abnormal data is timely adjusted, so that the standard execution of the service is realized.

For example, fig. 3 is a schematic flow chart of a service early warning shown in an exemplary embodiment, in fig. 3, a correct user and a password are required to be used for login first, and when a service early warning system is used for calling a service early warning platform (early warning center) for abnormal data query for the first time, the following relevant configurations are required to be performed:

a) The configuration (maintenance of monitoring range) of the object to be monitored includes firstly confirming a service event to be queried, and configuring the object to be monitored (table or view) corresponding to the service event. The user inputs the data table information and the domain information to be monitored, wherein the primary key field and the service data coding field of the domain information must exist and are unique.

b) And (4) early warning level configuration (early warning level maintenance), wherein before early warning rule configuration, early warning level maintenance and confirmation are performed so as to perform corresponding processing on the service data when a service event triggers an early warning rule. The early warning level is a standard for measuring the severity and urgency of the early warning rule and is not repeatable.

c) And (4) configuring early warning rules (early warning rule maintenance), and making related early warning rules by a user according to business standards and specifications so that the business early warning system can check and verify the normalization of business data, help a monitoring administrator user to know the violation details of the business data in time and perform related processing.

d) The method comprises the steps of service event configuration (service event maintenance), and service events needing early warning monitoring and verification, namely different nodes needing early warning verification on a service data flow line of the service events, are maintained by a user, so that early warning verification can be conducted on data quality and specifications in a targeted mode.

e) Association rules (association rule configuration) of the business event and the early warning rule, and bidirectional management of the early warning rule and the business event by a user. The business event correlation early warning rule configuration supports the correlation of a plurality of early warning rules under a certain business event, and the early warning rule correlation business event configuration supports the correlation of a plurality of events under a certain early warning rule.

After the relevant configuration work of the early warning center is finished, service calling joint debugging is carried out on the early warning center and the service system, and after the joint debugging is finished, automatic early warning monitoring of the service system can be carried out. In the operation process of the service data, the monitored abnormal data can be inquired by carrying out early warning and monitoring on different service events, so that the monitoring and verification of an early warning processing result are realized.

Fig. 4 is a block diagram illustrating a traffic alerting device according to an exemplary embodiment. Referring to fig. 4, the traffic early warning apparatus 400 may include:

the monitoring module 410 is configured to monitor at least one service event of an object to be monitored in a service system and service data of each service event;

a first determining module 420, configured to determine, for each business event, whether an early warning rule associated with the business event exists;

the processing module 430 is configured to perform early warning processing on the service event when an early warning rule associated with the service event exists and the service data of the service event satisfies the associated early warning rule.

In a possible implementation manner, the processing module 430 is specifically configured to determine, according to an early warning rule associated with the business event, an early warning level for the business event and an early warning manner corresponding to the early warning level; and aiming at the service event, carrying out early warning processing according to the early warning mode.

In a possible embodiment, the apparatus further comprises: the second determining module is used for determining early warning configuration related information in the service system; wherein the early warning configuration related information may include at least one of the following information: the method comprises the steps of object configuration to be monitored, service event configuration, early warning rule configuration, association rules of service events and early warning rules, and early warning level configuration.

In a possible embodiment, the apparatus further comprises: the device comprises a receiving module and an obtaining module; the receiving module is used for receiving an abnormal data query instruction; the obtaining module is configured to obtain abnormal data according to the abnormal data query instruction, where the abnormal data includes at least one of the following: the early warning processing result, the service event corresponding to the early warning processing result and the service data of the service event.

With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.

Fig. 5 is a block diagram illustrating a traffic alerting system in accordance with an exemplary embodiment. Referring to fig. 5, the traffic early warning system 500 may include: a service early warning platform 501 and a service system 502;

the service early warning platform 501 is connected to the service system 502, and is configured to execute the service early warning method according to the embodiment of the disclosure for the service system 502.

The present disclosure also provides an electronic device, a computer-readable storage medium, and a computer program product according to embodiments of the present disclosure.

FIG. 6 illustrates a schematic block diagram of an example electronic device 600 that can be used to implement embodiments of the present disclosure. The electronic device 600 is intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the disclosure described and/or claimed herein.

As shown in fig. 6, the electronic device 600 includes a computing unit 601, which can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM) 602 or a computer program loaded from a storage unit 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data required for the operation of the device 600 can also be stored. The calculation unit 601, the ROM 602, and the RAM 603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.

Various components in the electronic device 600 are connected to the I/O interface 605, including: an input unit 606 such as a keyboard, a mouse, and the like; an output unit 607 such as various types of displays, speakers, and the like; a storage unit 608, such as a magnetic disk, optical disk, or the like; and a communication unit 609 such as a network card, modem, wireless communication transceiver, etc. The communication unit 609 allows the electronic device 600 to exchange information/data with other devices through a computer network such as the internet and/or various telecommunication networks.

Computing unit 601 may be a variety of general and/or special purpose processing components with processing and computing capabilities. Some examples of the computing unit 601 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various dedicated Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and so forth. The calculation unit 601 performs the various methods and processes described above, such as a traffic warning method. For example, in some embodiments, the traffic alerting method may be implemented as a computer software program tangibly embodied in a machine-readable medium, such as storage unit 608. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 600 via the ROM 602 and/or the communication unit 609. When the computer program is loaded into RAM 603 and executed by the computing unit 601, one or more steps of the traffic alerting method described above may be performed. Alternatively, in other embodiments, the computing unit 601 may be configured to perform the traffic alerting method by any other suitable means (e.g., by means of firmware).

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.

Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), the internet, and blockchain networks.

The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The Server may be a cloud Server, also called a cloud computing Server or a cloud host, and is a host product in a cloud computing service system, so as to solve the defects of high management difficulty and weak service extensibility in a traditional physical host and VPS service ("Virtual Private Server", or "VPS" for short). The server may also be a server of a distributed system, or a server incorporating a blockchain.

It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present disclosure may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved.

The above detailed description should not be construed as limiting the scope of the disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present disclosure should be included in the scope of protection of the present disclosure.

Claims

1. A service early warning method is characterized by comprising the following steps:

determining whether an early warning rule associated with the business event exists or not aiming at each business event;

and when the early warning rule associated with the business event exists and the business data of the business event meets the associated early warning rule, early warning processing is carried out on the business event.

2. The method of claim 1, wherein the performing early warning processing for the service event comprises:

determining an early warning level aiming at the business event and an early warning mode corresponding to the early warning level according to the early warning rule related to the business event;

3. The method of claim 1, wherein prior to monitoring at least one business event of an object to be monitored in the business system and business data for each of the business events, the method further comprises:

4. The method of claim 3, wherein the pre-warning level is at least one, and wherein different pre-warning levels correspond to different pre-warning modes.

5. The method of claim 3, wherein one of said business events is associated with at least one of said early warning rules, and wherein one of said early warning rules is associated with at least one of said business events.

6. The method of claim 1, further comprising:

receiving an abnormal data query instruction;

obtaining abnormal data according to the abnormal data query instruction, wherein the abnormal data comprises at least one of the following items: the early warning processing result, the service event corresponding to the early warning processing result and the service data of the service event.

7. A traffic warning apparatus, comprising:

and the processing module is used for carrying out early warning processing on the service event when the early warning rule associated with the service event exists and the service data of the service event meets the associated early warning rule.

8. A business warning system, comprising: a service early warning platform and a service system;

the business early warning platform is connected with the business system and used for executing the business early warning method in any one of claims 1 to 6 aiming at the business system.

9. An electronic device, comprising:

a processor;

a memory for storing the processor-executable instructions;

wherein the processor is configured to execute the instructions to implement the business warning method of any of claims 1 to 6.

10. A computer-readable storage medium, wherein instructions, when executed by a processor of an electronic device, enable the electronic device to perform the traffic alerting method of any of claims 1-6.