CN115114106A

CN115114106A - Method, device and equipment for processing account-out task

Info

Publication number: CN115114106A
Application number: CN202110308762.8A
Authority: CN
Inventors: 崔广维; 王守初; 王珂; 刘琳
Original assignee: China Mobile Communications Group Co Ltd; China Mobile Group Henan Co Ltd
Current assignee: China Mobile Communications Group Co Ltd; China Mobile Group Henan Co Ltd
Priority date: 2021-03-23
Filing date: 2021-03-23
Publication date: 2022-09-27

Abstract

The embodiment of the invention discloses a method, a device and equipment for processing an account-out task, wherein the method comprises the following steps: acquiring running state data corresponding to a target charge-out task, wherein the running state data comprises equipment running state data for executing the target charge-out task and database running state data; determining a target processing mode of the target charge-off task based on a preset processing mode determination model and the running state data, wherein the target processing mode comprises a waiting mode, a normal mode and a restarting mode; and processing the target charge-out task based on the target processing mode. By the method, the target charge-off task can be processed through the target processing mode determined by the preset processing mode determining model and the running state data, and the processing efficiency and the processing accuracy of the target charge-off task are improved.

Description

Method, device and equipment for processing account-out task

Technical Field

The invention relates to the technical field of computers, in particular to a method, a device and equipment for processing an expenditure presentation task.

Background

With the continuous development of internet technology, mobile operators provide more and more services for users, and at the same time, the number of mobile communication users increases in a large scale, which results in higher processing complexity of the billing service, and how to ensure the accuracy of the billing service processing becomes the focus of attention of the operators.

At present, in the process of processing the expenditure task, a manual audit point can be deployed for a key link, so that the processing log of the expenditure task is checked manually, and when the expenditure task is found to have problems, the problems are positioned and solved manually, so that the expenditure task is ensured to be carried out smoothly.

However, the manual auditing method has the problems of low efficiency due to large data volume of the billing tasks, and problems are not found timely and poor in problem positioning accuracy due to manual positioning and problem solving, so that the manual auditing method for processing the billing tasks is low in processing efficiency and poor in accuracy of the billing tasks.

Disclosure of Invention

The embodiment of the invention aims to provide a method, a device and equipment for processing an account-out task, so as to solve the problems of low processing efficiency and poor accuracy of the account-out task caused by processing the account-out task in a manual auditing mode in the prior art.

To solve the above technical problem, the embodiment of the present invention is implemented as follows:

in a first aspect, a method for processing an outbound task provided in an embodiment of the present invention includes: acquiring running state data corresponding to a target charge-out task, wherein the running state data comprises equipment running state data for executing the target charge-out task and database running state data; determining a target processing mode of the target charge-off task based on a preset processing mode determination model and the running state data, wherein the target processing mode comprises a waiting mode, a normal mode and a restarting mode; and processing the target charge-out task based on the target processing mode.

In a second aspect, an embodiment of the present invention provides an outbound task processing apparatus, where the apparatus includes: the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring running state data corresponding to a target charge-out task, and the running state data comprises equipment running state data for executing the target charge-out task and database running state data; the mode determining module is used for determining a target processing mode of the target charge-off task based on a preset processing mode determining model and the running state data, wherein the target processing mode comprises a waiting mode, a normal mode and a restarting mode; and the task processing module is used for processing the target charge-out task based on the target processing mode.

In a third aspect, an embodiment of the present invention provides an apparatus, including a processor, a memory, and a computer program stored on the memory and executable on the processor, where the computer program, when executed by the processor, implements the steps of the method for processing an outbound task provided in the foregoing embodiment.

In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements the steps of the expenditure presentation task processing method provided in the foregoing embodiment.

As can be seen from the above technical solutions provided by the embodiments of the present invention, the embodiments of the present invention determine the target processing mode of the target accounting task by acquiring the running state data corresponding to the target accounting task, where the running state data includes the device running state data for executing the target accounting task and the database running state data, and determining the model and the running state data based on the preset processing mode, where the target processing mode includes a waiting mode, a normal mode, and a restarting mode, and the target accounting task is processed based on the target processing mode. Therefore, the model and the running state data can be determined through the preset processing mode, the target processing mode of the target charge-out task is determined in time, the target charge-out task is processed through the target processing mode, the problem of low task processing efficiency in an artificial auditing mode is solved, the target processing mode is determined through the preset processing mode, the mode determination accuracy of the target charge-out task can be improved, and the processing efficiency and the processing accuracy of the target charge-out task can be improved.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments described in the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.

FIG. 1 is a flow chart illustrating a method for processing an outbound task according to the present invention;

FIG. 2 is a schematic flow chart diagram illustrating another method for handling a charge-off task according to the present invention;

FIG. 3 is a schematic structural diagram of an account-out task processing apparatus according to the present invention;

fig. 4 is a schematic structural diagram of a charge-off task processing device according to the present invention.

Detailed Description

The embodiment of the invention provides a method, a device and equipment for processing an expenditure presentation task.

In order to make those skilled in the art better understand the technical solution of the present invention, the technical solution in the embodiment of the present invention will be clearly and completely described below with reference to the drawings in the embodiment of the present invention, and it is obvious that the described embodiment is only a part of the embodiment of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Example one

As shown in fig. 1, an execution main body of the method may be a server, and the server may be an independent server or a server cluster composed of a plurality of servers. The method may specifically comprise the following steps. The method may specifically comprise the steps of:

in S102, the operation state data corresponding to the target posting task is acquired.

The target charge-out task may be any unfinished one or more charge-out tasks, the running state data may include device running state data and database running state data for executing the target charge-out task, the device running state data may include state data such as a CPU utilization rate, a device process number, a device space usage state, and the like, and the database running state data may be usage state data of a database that needs to be used for processing the target charge-out task, and the like.

In implementation, with the continuous development of internet technology, mobile operators provide more and more services for users, and at the same time, the number of mobile communication users also increases in a large scale, which results in higher processing complexity of the billing service, and how to ensure the accuracy of the processing of the billing service becomes the focus of attention of the operators.

However, the manual auditing method has the problems of low efficiency due to large data volume of the outbound task, untimely problem finding and poor problem locating accuracy due to the problem locating and solving by manual, so the outbound task is processed by the manual auditing method, and the processing efficiency and accuracy of the outbound task are low. Therefore, another implementation scheme is provided in the embodiments of the present invention, which may specifically include the following:

the charge-out flow can comprise a plurality of charge-out tasks, the charge-out tasks can have task dependency relations, one device can process one or more charge-out tasks, and one database can provide data access services for one or more charge-out tasks.

For example, it is assumed that the charge-off flow includes a charge-off task 1, a charge-off task 2, and a charge-off task 3, where the charge-off task 3 and the charge-off task 1 have a task dependency relationship, that is, the charge-off task 3 needs to be started after the charge-off task 1 is finished, task execution devices of the charge-off task 1 and the charge-off task 3 can be the device 1, the task execution device of the charge-off task 2 can be the device 2, the database 1 can provide data access service for the charge-off task 1 and the charge-off task 3, and the database 2 can provide data access service for the charge-off task 2 and the charge-off task 3.

Assuming that the charge-out task 1 is a target charge-out task, the running logs of the device 1 and the database 1 may be obtained, and corresponding running state data may be obtained according to the running logs, as the running state data of the target charge-out task.

Or, assuming that the expenditure presentation task 3 is a target expenditure presentation task, the running logs of the device 1, the database 1, and the database 2 may be obtained, and corresponding running state data (including device running state data and database running state data) may be obtained according to the running logs as the running state data of the target expenditure presentation task.

In addition, when the target charge-out task is in a pending state, first running state data of the charge-out task having a task dependency relationship with the target charge-out task can be acquired, and the first running state data can be used as running state data of the target charge-out task when the first running state data contains running state data larger than a preset state threshold.

For example, assuming that the charge-out task 3 is a target charge-out task, and the charge-out task 3 is in a pending state, the charge-out task 3 and the charge-out task 1 have a task dependency relationship, when the charge-out task 3 is in the pending state, the first operation state data of the charge-out task 1, that is, the operation state data of the device 1 and the database 1, may be obtained, and when the operation state data of the device 1 and the database 1 includes a value greater than a preset state threshold, the first operation state data may be used as the operation state data of the charge-out task 3.

In addition, error logs, alarm information and the like of equipment and/or a database for executing the target charge-out task can be acquired, preset keywords are grabbed on the error logs and the alarm information, and the grabbed data corresponding to the preset keywords are used as running state data of the target charge-out task.

The method for acquiring the running state data of the target charge-out task is an optional and realizable determination method, and in an actual application scenario, there may be a plurality of different acquisition methods, which may be different according to different actual application scenarios, and this is not specifically limited in the embodiment of the present invention.

In S104, a target processing mode of the target charge-out task is determined based on the preset processing mode determination model and the operation state data.

The target processing mode may include a waiting mode, a normal mode, and a restart mode, and the preset processing mode determination model may be a model that determines a processing mode of the posting task based on the operation state data.

In the implementation, a preset processing mode determination model is taken as historical running state data and a historical processing mode based on a historical posting task, and a model obtained by performing model training on a preset machine learning algorithm is taken as an example.

For example, historical operating state data and historical processing patterns of all completed historical posting tasks within a preset model training period (e.g., 3 months, half a year, etc.) may be obtained, and model training may be performed on a neural network algorithm based on the obtained data to obtain a trained processing pattern determination model. And inputting the running state data of the target charge-out task into the trained processing mode determination model to obtain a target processing mode of the target charge-out task.

The running state data of the target charge-out task is subjected to dynamic model analysis through the historical running state data of the historical charge-out task, and the accuracy of determining the target processing mode of the target charge-out task is improved.

In addition, the processing mode determination model may be various, and may be different according to different actual application scenarios, and the processing mode determination model is not specifically limited in the embodiment of the present invention.

In S106, the target charge-out task is processed based on the target processing mode.

In implementation, when the charge-out flow is started, whether the target charge-out task is abnormal or not may be determined, for example, in the processing process of the target charge-out task, whether the target charge-out task is abnormal or not may be determined by a relationship between a loop ratio variation range of the operation duration of the target charge-out task and the operation duration of the charge-out task in the previous period and a preset variation range threshold 1, a relationship between a loop ratio variation range of the operation duration of the target charge-out task and the charge-out task in the same period as the previous period and a preset variation range threshold 2, a relationship between a CPU usage amount and a preset threshold 1, whether an equipment space usage state is an overload state, whether a process processing state is a "false live and dead" state (that a process is not updated within a preset time period, and the like).

If the target charge-out task is abnormal, whether manual intervention is needed or not can be judged, and if the manual intervention is not needed, the steps S102 to S106 can be executed to process the target charge-out task through a target processing mode.

The embodiment of the invention provides an expenditure task processing method, which comprises the steps of obtaining running state data corresponding to a target expenditure task, wherein the running state data comprises equipment running state data for executing the target expenditure task and database running state data, determining a model and the running state data based on a preset processing mode, determining a target processing mode of the target expenditure task, wherein the target processing mode comprises a waiting mode, a normal mode and a restarting mode, and processing the target expenditure task based on the target processing mode. Therefore, the model and the running state data can be determined through the preset processing mode, the target processing mode of the target charge-out task is determined in time, the target charge-out task is processed through the target processing mode, the problem of low task processing efficiency in an artificial auditing mode is solved, the target processing mode is determined through the preset processing mode, the mode determination accuracy of the target charge-out task can be improved, and the processing efficiency and the processing accuracy of the target charge-out task can be improved.

Example two

As shown in fig. 2, an execution main body of the method may be a server, and the server may be an independent server or a server cluster formed by multiple servers. The method may specifically comprise the following steps. The method may specifically comprise the steps of:

in S202, the running state data corresponding to the target posting task is acquired.

For the specific processing procedure of S202, reference may be made to the related content of S102 in the first embodiment, which is not described herein again.

In S204, first index data corresponding to a preset operation state index in the operation state data is obtained.

The operation status index may include a database operation status index, an equipment operation status index, a task processing status index, and the like.

In an implementation, for example, the database running state index may include a database usage state, a database log state, and the like, the device running state index may include a CPU utilization rate, a device process number, a device storage space usage state, a process processing state, a device log state, and the like, and the task processing state index may include a task start time, a task processing duration, a task delay duration, and the like, wherein the database log state index may be an update state index, an output state, and the like of the database log.

First index data corresponding to the running state index in the running state data of the target charge-out task can be obtained.

In S206, the current processing state of the target posting task is acquired.

The current processing state may be a pending state, an in-process state, a sleep waiting state, a completed state, or the like.

In S208, a target processing mode of the target charge-out task is determined based on the first index data, the preset processing mode determination model, and the current processing state of the target charge-out task.

In practice, the processing manner of S208 may be various in practical applications, and an alternative implementation manner is provided below, which may specifically refer to the following processing from step one to step three:

step one, acquiring the target quantity of first index data larger than a preset alarm threshold value.

And step two, determining the health degree of the target charge-out task based on the preset weight, the preset risk value and the target quantity of the running state indexes.

In implementation, the first index data corresponding to each operation status index may be obtained, and the target number of the first index data greater than the preset alarm threshold corresponding to the operation status index in the first index data of each operation status index may be obtained.

The occurrence frequency of the first index data larger than the preset alarm threshold in the preset detection period can be obtained, and the health degree corresponding to each operation state index is determined through the preset weight, the preset risk value and the occurrence frequency of each operation state index, namely the quotient of the target number and the preset detection period.

For example, the result of (preset weight × preset risk value)/occurrence frequency of each operation state indicator may be determined as the health degree corresponding to each operation state indicator. And determining the sum of the health degrees of the running state indexes as the health degree of the target charge-out task.

For example, in a preset detection period (e.g., 10 minutes), the operation state data of the target charge-out task includes a CPU utilization rate 1, a CPU utilization rate 2, a CPU utilization rate 3, an equipment process number 1, and an equipment process number 2, assuming that a preset alarm threshold corresponding to the CPU utilization rate is a threshold 1, a preset alarm threshold corresponding to the equipment process number is a threshold 2, assuming that the CPU utilization rate 1 and the CPU utilization rate 2 are greater than the threshold 1, and the equipment process number 1 is greater than the threshold 2, a target number corresponding to the CPU utilization rate is 2, an occurrence frequency of the operation state index, which is the CPU utilization rate, is 2/10 ═ 0.5, that is, the occurrence frequency is once in 5 minutes, that the target number corresponding to the equipment process number is 1, and an occurrence frequency of the operation state index, which is the equipment process number, is 1/10 ═ 0.1, that is, the occurrence frequency is once in 10 minutes.

Taking the running state indexes as the CPU utilization, the number of device processes, the database usage, the device storage space usage, the process processing status, and the device log status as examples, based on the above method, the occurrence frequency of each running state index, the preset weight, and the preset risk value are determined, and the obtained data may be as shown in table 1 below.

TABLE 1

Index of running state	Preset weight	Preset risk value	Frequency of occurrence	Degree of health
					CPU utilization	0.1	1	1times/5min	0.02
Number of device processes	0.1	1	1times/1min	0.1
					Database managementState of use	0.2	2	1times/1min	0.4
Device storage space usage status	0.1	1	1times/10min	0.01
					Process processing state	0.3	3	1times/1min	0.9
Device log status	0.2	2	1times/1min	0.4

The sum of the health degrees of the operating state indexes may be regarded as the health degree of the target charge-out task, that is, the health degree of the target charge-out task may be 1.83, i.e., 0.02+0.1+0.4+0.01+0.9+ 0.4.

And step three, determining a target processing mode of the target charge-out task based on the health degree of the target charge-out task and the current processing state of the target charge-out task.

In implementation, for example, in the case that the health degree of the target charge-out task is not greater than the preset health degree threshold value and the current processing state of the target charge-out task is a pending state or a processing state, the target processing mode of the target charge-out task is determined to be the normal mode.

And under the condition that the health degree of the target charge-out task is not greater than a preset health degree threshold value and the current processing state of the target charge-out task is a sleep waiting state, determining that the target processing mode of the target charge-out task is a restarting mode.

And under the condition that the health degree of the target charge-out task is greater than a preset health degree threshold value, determining that the target processing mode of the target charge-out task is a waiting mode.

Or, the health degree of the target charge-out task, the current processing state of the target charge-out task and the first index data larger than the preset alarm threshold value can be sent to the preset management party under the condition that the health degree of the target charge-out task is larger than the preset health degree threshold value.

The health degree of the target charge-out task is larger than the preset health degree threshold value, whether the processing mode of the target charge-out task needs to be changed or not can be determined by a preset management party, so that the health degree of the target charge-out task, the current processing state of the target charge-out task and the first index data larger than the preset alarm threshold value can be sent to the preset management party, and the preset management party determines the target processing mode of the target charge-out task based on the first index data larger than the preset alarm threshold value and the current processing state of the target charge-out task.

And under the condition that the health degree of the target charge-out task is not greater than a preset health degree threshold value, sending the health degree of the target charge-out task and the current processing state of the target charge-out task to a preset management party.

And receiving a mode determination instruction sent by a preset management party, and determining a target processing mode of the target charge-out task based on the mode determination instruction.

For example, in the case that the health degree of the target posting task is greater than the preset health degree threshold, the following may be sent to the preset manager: "respected System Administrator XXX, monthly Account-monthly Point calculation procedure is abnormal for reasons: the log state is abnormal (or the database resource is busy, the process state is abnormal, etc.), the health degree exceeds the threshold value, the current monthly account-monthly point calculation step is in a processing state, whether a waiting mode or a restarting mode needs to be started or not is judged, a letter A is replied to start the waiting mode, a letter B is replied to start the restarting mode, no reply is made, and the system alarms again after 1 minute. "

Under the condition that the health degree of the target charge-out task is not greater than a preset health degree threshold value, the following steps can be sent to a preset manager: the health degree of the respected system administrator XXX and the monthly account-monthly point calculation step is normal, the current monthly account-monthly point calculation step is in a dormancy waiting state, whether a restart mode needs to be started or not is judged, and a letter B is replied to start the restart mode. "

The "monthly account-monthly point calculation" is a target charge-out task, and the "abnormal log state (or busy database resource, abnormal process state, etc.)" is an operation state index corresponding to the first index data larger than a preset alarm threshold.

The target processing mode of the target charge-out task may be determined according to a mode determination instruction sent by a preset management side, for example, if the received mode determination instruction is "a", the target processing mode may be determined to be a waiting mode.

In addition, the mode determination instruction may further include a first processing mode of the target charge-out task determined by the preset management party, and target verification information obtained by processing the first processing mode based on a preset verification algorithm.

For example, the preset managing side device may generate the target verification information a + corresponding to the first processing mode based on a preset verification algorithm (e.g., a preset hash algorithm) and the first processing mode (e.g., the instruction "a"), and the preset managing side device may send the instruction "a" and the target verification information "a +" to the local.

The first verification information can be locally determined based on a preset verification algorithm and a first processing mode, and the first processing mode is determined as a target processing mode of the target charge-out task under the condition that the first verification information is matched with the target verification information.

For example, the local may generate the first verification information "a-" based on a preset verification algorithm and the received first processing mode, and if the first verification information "a-" matches the target verification information "a +", it may be determined that the mode determination instruction has not been tampered during transmission, and the first processing mode (i.e., the waiting mode corresponding to the instruction "a") may be determined as the target processing mode of the target billing task.

Command injection is an attack that achieves the goal of destruction by executing commands of the host operating system in the application. If the application passes unsecured user input to the system command parser (shell), a command attack may occur.

Generally speaking, the transfer of operating system commands by an application program will be granted the same rights as the application program, and therefore, without a reasonable defense mechanism, the operating system will be compromised. Command injection attack vulnerabilities are one of the common vulnerabilities in PHP applications. The command injection is different from the code injection, and the purpose of the code injection is to inject an external code into the application program and execute the external code along with the application program; the object of command injection is the server's host.

Therefore, when the network element side can be opened to receive the short message instruction (that is, the first processing mode in the mode determination instruction of the preset manager is preset), the first processing mode can be processed based on the preset verification algorithm (for example, the first processing mode can be encrypted), so as to obtain the target verification information corresponding to the first processing mode, and then the network element side sends the first processing mode and the target verification information to the local.

The method comprises the steps of inquiring a database instruction encryption algorithm locally, obtaining a corresponding preset verification algorithm, determining first verification information based on the preset verification algorithm and a first processing mode, determining the first processing mode as a target processing mode of a target charge-out task under the condition that the first verification information is matched with target verification information, and processing the target charge-out task according to the target processing mode.

In S210, the target charge-out task is processed based on the target processing mode.

In implementations, the target processing mode may also include a waterfall mode, i.e., a multi-city simultaneous multitasking mode.

In S212, when the target charge-out task is in the task complete state, the preset alarm threshold is updated based on the first index data of the target charge-out task.

In implementation, when the target charge-out task is in a task completion state, first index data of the target charge-out task may be acquired, for example, the first index data may be start time, end time, delay time, CPU utilization, device process number, database usage state, device storage space usage state, process processing state, device log state, and the like of the target charge-out task, and the advance warning threshold may be updated based on the first index data.

For example, if the target charge-out task has a large change and may have a large influence on the task processing time, then the target processing mode of the next target charge-out task is determined based on the non-updated preset alarm threshold, and there is a problem of poor mode determination accuracy. Therefore, the preset alarm threshold value can be updated based on the starting time and the ending time of the target charge-out task, and the next round of target charge-out task can be processed based on the updated preset alarm threshold value.

For example, taking the first index data as the task processing time (i.e., the task processing time determined by the start time and the end time) as an example, the forenotice alert threshold corresponding to the task processing time may be 10 minutes. Assuming that the target charge-out task has a large change (for example, objects to be processed are added), when the target charge-out task is in a completed state, the start time and the end time of the target charge-out task may be obtained, and the task completion time of the target charge-out task may be determined, for example, 20 minutes, and 20 minutes may be used as an updated advance notice alarm threshold.

When the next round (for example, the next month) of the charge-out process starts, 20 minutes may be used as a forenotice alarm threshold corresponding to the task processing time, and the target charge-out task of the round is processed based on the preset alarm threshold.

In addition, under the condition that the target charge-out task is in the task completion state, a visual attempt of the operation condition of each link of the target charge-out task can be provided, for example, after each charge-out task of the charge-out flow is in the task completion state, first index data of each charge-out task can be acquired, and a multi-dimensional report corresponding to the charge-out flow is generated and output based on a preset report generation model and the first index data. The multi-dimensional report can comprise task processing time, delay time, completion time, expenditure presentation time ranking and the like.

The target charge-off task is analyzed from the time dimension and the flow dimension, the change condition of the target charge-off task in the processing process is dynamically displayed, and an efficient and convenient tool is provided for monitoring the charge-off process and positioning problem analysis.

In addition, the target charge-out tasks in the charge-out flow of a certain city can be comprehensively evaluated through running state index data such as CPU utilization rate, equipment process number, database use state, equipment storage space use state, process processing state, equipment log state and the like (for example, the city can be ranked based on the health degree of the target charge-out tasks in the charge-out flow of each city), so that whether the target charge-out tasks in the charge-out flow of the city need to be optimized and promoted or not can be determined according to the evaluation result. The target processing mode of the target charge-off task is determined according to the health degree determined by the running state indexes, so that the target charge-off task can be intelligently regulated and controlled, too many charge-off tasks are prevented from being executed at the same time, system resources are intensively occupied, and an optimal daily and monthly charge-off process is achieved.

EXAMPLE III

Based on the same idea, the method for processing a charge-off task according to the embodiment of the present invention further provides a device for processing a charge-off task, as shown in fig. 3.

This task processing apparatus that accounts out includes: a data acquisition module 301, a mode determination module 302 and a task processing module 303, wherein:

a data obtaining module 301, configured to obtain running state data corresponding to a target posting task, where the running state data includes device running state data for executing the target posting task and database running state data;

a mode determining module 302, configured to determine a target processing mode of the target charge-out task based on a preset processing mode determination model and the running state data, where the target processing mode includes a waiting mode, a normal mode, and a restarting mode;

and the task processing module 303 is configured to process the target charge-out task based on the target processing mode.

In this embodiment of the present invention, the mode determining module 302 is configured to:

acquiring first index data corresponding to a preset running state index in the running state data, wherein the running state index comprises a database running state index, an equipment running state index and a task processing state index;

acquiring the current processing state of the target charge-out task;

and determining a target processing mode of the target charge-out task based on the first index data, the preset processing mode determination model and the current processing state of the target charge-out task.

acquiring the target quantity of the first index data larger than a preset alarm threshold;

determining the health degree of the target charge-out task based on the preset weight, the preset risk value and the target quantity of the running state indexes;

and determining a target processing mode of the target charge-out task based on the health degree of the target charge-out task and the current processing state of the target charge-out task.

determining that the target processing mode of the target charge-out task is the normal mode under the condition that the health degree of the target charge-out task is not greater than a preset health degree threshold value and the current processing state of the target charge-out task is a to-be-processed state or a processing state;

determining that a target processing mode of the target charge-out task is the restart mode under the condition that the health degree of the target charge-out task is not greater than a preset health degree threshold value and the current processing state of the target charge-out task is a sleep waiting state;

and under the condition that the health degree of the target charge-out task is greater than a preset health degree threshold value, determining that a target processing mode of the target charge-out task is the waiting mode.

under the condition that the health degree of the target charge-out task is greater than a preset health degree threshold value, sending the health degree of the target charge-out task, the current processing state of the target charge-out task and the first index data greater than a preset alarm threshold value to a preset management party;

sending the health degree of the target charge-out task and the current processing state of the target charge-out task to the preset manager under the condition that the health degree of the target charge-out task is not greater than a preset health degree threshold value;

and receiving a mode determination instruction sent by the preset manager, and determining a target processing mode of the target charge-out task based on the mode determination instruction.

In this embodiment of the present invention, the mode determining instruction includes a first processing mode of the target posting task determined by the administrator and target verification information obtained by processing the first processing mode based on a preset verification algorithm, and the mode determining module 302 is configured to:

determining first verification information based on the preset verification algorithm and the first processing mode;

and under the condition that the first verification information is matched with the target verification information, determining the first processing mode as a target processing mode of the target charge-out task.

In an embodiment of the present invention, the apparatus further includes:

and the updating module is used for updating the preset alarm threshold value based on the first index data of the target charge-out task under the condition that the target charge-out task is in a task completion state.

The embodiment of the invention provides an expenditure task processing device, which is used for determining a target processing mode of a target expenditure task by acquiring running state data corresponding to the target expenditure task, wherein the running state data comprises equipment running state data for executing the target expenditure task and database running state data, determining a model and the running state data based on a preset processing mode, and processing the target expenditure task based on the target processing mode, wherein the target processing mode comprises a waiting mode, a normal mode and a restarting mode. Therefore, the model and the running state data can be determined through the preset processing mode, the target processing mode of the target charge-out task is determined in time, the target charge-out task is processed through the target processing mode, the problem of low task processing efficiency in an artificial auditing mode is solved, the target processing mode is determined through the preset processing mode, the mode determination accuracy of the target charge-out task can be improved, and the processing efficiency and the processing accuracy of the target charge-out task can be improved.

Example four

Figure 4 is a hardware architecture diagram of a device implementing various embodiments of the invention,

the apparatus 400 includes, but is not limited to: radio frequency unit 401, network module 402, audio output unit 403, input unit 404, sensor 405, display unit 406, user input unit 407, interface unit 408, memory 409, processor 410, and power supply 411. Those skilled in the art will appreciate that the configuration of the device shown in fig. 4 does not constitute a limitation of the device, and that the device may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components. In the embodiment of the present invention, the device includes, but is not limited to, a mobile phone, a tablet computer, a notebook computer, a palm computer, a vehicle-mounted terminal, a wearable device, a pedometer, and the like.

Wherein, the processor 410 is configured to: acquiring running state data corresponding to a target charge-out task, wherein the running state data comprises equipment running state data for executing the target charge-out task and database running state data; determining a target processing mode of the target charge-off task based on a preset processing mode determination model and the running state data, wherein the target processing mode comprises a waiting mode, a normal mode and a restarting mode; and processing the target charge-out task based on the target processing mode.

Further, the processor 410 is further configured to: acquiring first index data corresponding to a preset operation state index in the operation state data, wherein the operation state index comprises a database operation state index, an equipment operation state index and a task processing state index; acquiring the current processing state of the target charge-out task; and determining a target processing mode of the target charge-out task based on the first index data, the preset processing mode determination model and the current processing state of the target charge-out task.

Further, the processor 410 is further configured to: acquiring the target quantity of the first index data larger than a preset alarm threshold; determining the health degree of the target charge-out task based on the preset weight, the preset risk value and the target quantity of the running state indexes; and determining a target processing mode of the target charge-out task based on the health degree of the target charge-out task and the current processing state of the target charge-out task.

Further, the processor 410 is further configured to: determining that a target processing mode of the target charge-out task is the normal mode when the health degree of the target charge-out task is not greater than a preset health degree threshold value and the current processing state of the target charge-out task is a pending state or a processing state; determining that a target processing mode of the target charge-out task is the restart mode under the condition that the health degree of the target charge-out task is not greater than a preset health degree threshold value and the current processing state of the target charge-out task is a sleep waiting state; and under the condition that the health degree of the target charge-out task is greater than a preset health degree threshold value, determining that a target processing mode of the target charge-out task is the waiting mode.

In addition, the processor 410 is further configured to: under the condition that the health degree of the target charge-out task is greater than a preset health degree threshold value, sending the health degree of the target charge-out task, the current processing state of the target charge-out task and the first index data greater than a preset alarm threshold value to a preset management party; sending the health degree of the target charge-out task and the current processing state of the target charge-out task to the preset manager under the condition that the health degree of the target charge-out task is not greater than a preset health degree threshold value; and receiving a mode determination instruction sent by the preset manager, and determining a target processing mode of the target charge-out task based on the mode determination instruction.

In addition, the processor 410 is further configured to: determining first verification information based on the preset verification algorithm and the first processing mode; and determining the first processing mode as a target processing mode of the target charge-out task when the first verification information is matched with the target verification information.

Further, the processor 410 is further configured to: and under the condition that the target charge-out task is in a task completion state, updating the preset alarm threshold value based on the first index data of the target charge-out task.

The embodiment of the invention provides equipment, which is characterized in that running state data corresponding to a target charge-out task is obtained, the running state data comprises equipment running state data for executing the target charge-out task and database running state data, a model and the running state data are determined based on a preset processing mode, a target processing mode of the target charge-out task is determined, the target processing mode comprises a waiting mode, a normal mode and a restarting mode, and the target charge-out task is processed based on the target processing mode. Therefore, the model and the running state data can be determined through the preset processing mode, the target processing mode of the target charge-out task can be determined in time, the target charge-out task is processed through the target processing mode, the problem of low task processing efficiency in an artificial auditing mode is solved, the target processing mode is determined through the preset processing mode determination model and the running state data, the mode determination accuracy of the target charge-out task can be improved, and the processing efficiency and the processing accuracy of the target charge-out task can be improved.

It is understood that, in the embodiment of the present invention, the radio frequency unit 401 may be used for receiving and sending signals during a message transmission or call process, and specifically, receives downlink data from a base station and then processes the received downlink data to the processor 410; in addition, the uplink data is transmitted to the base station. Typically, radio unit 401 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. Further, the radio unit 401 can also communicate with a network and other devices through a wireless communication system.

The device provides wireless broadband internet access to the user through the network module 402, such as assisting the user in sending and receiving e-mails, browsing web pages, and accessing streaming media.

The audio output unit 403 may convert audio data received by the radio frequency unit 401 or the network module 402 or stored in the memory 409 into an audio signal and output as sound. Also, the audio output unit 403 may also provide audio output related to a specific function performed by the apparatus 400 (e.g., a call signal reception sound, a message reception sound, etc.). The audio output unit 403 includes a speaker, a buzzer, a receiver, and the like.

The input unit 404 is used to receive audio or video signals. The input Unit 404 may include a Graphics Processing Unit (GPU) 4041 and a microphone 4042, and the Graphics processor 4041 processes image data of a still picture or video obtained by an image capturing apparatus (such as a camera) in a video capturing mode or an image capturing mode. The processed image frames may be displayed on the display unit 406. The image frames processed by the graphic processor 4041 may be stored in the memory 409 (or other storage medium) or transmitted via the radio frequency unit 401 or the network module 402. The microphone 4042 may receive sound, and may be capable of processing such sound into audio data. The processed audio data may be converted into a format output transmittable to a mobile communication base station via the radio frequency unit 401 in case of the phone call mode.

The device 400 also includes at least one sensor 405, such as light sensors, motion sensors, and other sensors. Specifically, the light sensor includes an ambient light sensor that adjusts the brightness of the display panel 4061 according to the brightness of ambient light, and a proximity sensor that turns off the display panel 4061 and/or the backlight when the device 400 is moved to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally three axes), detect the magnitude and direction of gravity when stationary, and can be used to identify the device posture (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration identification related functions (such as pedometer, tapping), and the like; the sensors 405 may also include a fingerprint sensor, a pressure sensor, an iris sensor, a molecular sensor, a gyroscope, a barometer, a hygrometer, a thermometer, an infrared sensor, etc., which will not be described in detail herein.

The display unit 406 is used to display information input by the user or information provided to the user. The Display unit 406 may include a Display panel 4061, and the Display panel 4061 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.

The user input unit 407 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the apparatus. Specifically, the user input unit 407 includes a touch panel 4071 and other input devices 4072. Touch panel 4071, also referred to as a touch screen, may collect touch operations by a user on or near it (e.g., operations by a user on or near touch panel 4071 using a finger, a stylus, or any other suitable object or attachment). The touch panel 4071 may include two parts, a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, and sends the touch point coordinates to the processor 410 to receive and execute commands sent by the processor 410. In addition, the touch panel 4071 can be implemented by various types such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. In addition to the touch panel 4071, the user input unit 407 may include other input devices 4072. Specifically, the other input devices 4072 may include, but are not limited to, a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a track ball, a mouse, and a joystick, which are not described herein again.

Further, the touch panel 4071 can be overlaid on the display panel 4061, and when the touch panel 4071 detects a touch operation thereon or nearby, the touch operation is transmitted to the processor 410 to determine the type of the touch event, and then the processor 410 provides a corresponding visual output on the display panel 4061 according to the type of the touch event. Although in fig. 4, the touch panel 4071 and the display panel 4061 are two independent components to implement the input and output functions of the apparatus, in some embodiments, the touch panel 4071 and the display panel 4061 may be integrated to implement the input and output functions of the apparatus, which is not limited herein.

The interface unit 408 is an interface for connecting an external device to the apparatus 400. For example, the external device may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. Interface unit 408 may be used to receive input (e.g., data information, power, etc.) from external devices and transmit the received input to one or more elements within apparatus 400 or may be used to transmit data between apparatus 400 and external devices.

The memory 409 may be used to store software programs as well as various data. The memory 409 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, etc. Further, the memory 409 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.

The processor 410 is a control center of the apparatus, connects various parts of the entire apparatus using various interfaces and lines, performs various functions of the apparatus and processes data by operating or executing software programs and/or modules stored in the memory 409 and calling data stored in the memory 409, thereby performing overall monitoring of the apparatus. Processor 410 may include one or more processing units; preferably, the processor 410 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 410.

The device 400 may further include a power supply 411 (e.g., a battery) for supplying power to various components, and preferably, the power supply 411 may be logically connected to the processor 410 through a power management system, so as to manage charging, discharging, and power consumption management functions through the power management system.

Preferably, an embodiment of the present invention further provides an apparatus, including a processor 410, a memory 409, and a computer program that is stored in the memory 409 and can be run on the processor 410, where the computer program, when executed by the processor 410, implements each process of the above-mentioned embodiment of the expenditure presentation task processing method, and can achieve the same technical effect, and in order to avoid repetition, details are not described here again.

EXAMPLE five

The embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements each process of the aforementioned method for processing an outbound task, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here. The computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.

The embodiment of the invention provides a computer-readable storage medium, which is used for determining a target processing mode of a target charge-out task by acquiring running state data corresponding to the target charge-out task, wherein the running state data comprises equipment running state data for executing the target charge-out task and database running state data, determining a model and the running state data based on a preset processing mode, and processing the target charge-out task based on the target processing mode, wherein the target processing mode comprises a waiting mode, a normal mode and a restarting mode. Therefore, the model and the running state data can be determined through the preset processing mode, the target processing mode of the target charge-out task is determined in time, the target charge-out task is processed through the target processing mode, the problem of low task processing efficiency in an artificial auditing mode is solved, the target processing mode is determined through the preset processing mode, the mode determination accuracy of the target charge-out task can be improved, and the processing efficiency and the processing accuracy of the target charge-out task can be improved.

As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present invention has been described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.

Computer-readable media, including both permanent and non-permanent, removable and non-removable media, may implement the information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

The above description is only an example of the present invention and is not intended to limit the present invention. Various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.

Claims

1. A method for processing an account-out task, the method comprising:

acquiring running state data corresponding to a target charge-out task, wherein the running state data comprises equipment running state data for executing the target charge-out task and database running state data;

determining a target processing mode of the target charge-out task based on a preset processing mode determination model and the running state data, wherein the target processing mode comprises a waiting mode, a normal mode and a restarting mode;

and processing the target charge-out task based on the target processing mode.

2. The method according to claim 1, wherein determining a target processing mode of the target charge-out task based on a preset processing mode determination model and the operating state data comprises:

acquiring the current processing state of the target charge-out task;

3. The method according to claim 2, wherein the determining a target processing mode of the target charge-out task based on the first index data, the preset processing mode determination model and a current processing state of the target charge-out task comprises:

4. The method according to claim 3, wherein the determining a target processing mode of the target charge-out task based on the health of the target charge-out task and the current processing state of the target charge-out task comprises:

determining that a target processing mode of the target charge-out task is the normal mode when the health degree of the target charge-out task is not greater than a preset health degree threshold value and the current processing state of the target charge-out task is a pending state or a processing state;

5. The method of claim 3, wherein determining the target processing mode for the target charge-out task based on the health of the target charge-out task and the current processing state of the target charge-out task comprises:

6. The method according to claim 5, wherein the mode determination instruction includes a first processing mode of the target charge-out task determined by the preset managing party and target verification information obtained by processing the first processing mode based on a preset verification algorithm, and the target processing mode of the target charge-out task based on the mode determination instruction includes:

7. The method of claim 3, further comprising:

and under the condition that the target charge-out task is in a task completion state, updating the preset alarm threshold value based on the first index data of the target charge-out task.

8. An apparatus for processing an outbound task, the apparatus comprising:

the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring running state data corresponding to a target charge-out task, and the running state data comprises equipment running state data for executing the target charge-out task and database running state data;

the mode determining module is used for determining a target processing mode of the target charge-off task based on a preset processing mode determining model and the running state data, wherein the target processing mode comprises a waiting mode, a normal mode and a restarting mode;

and the task processing module is used for processing the target charge-out task based on the target processing mode.

9. An apparatus comprising a processor, a memory and a computer program stored on the memory and executable on the processor, the computer program when executed by the processor implementing the steps of the charge-out task processing method of any one of claims 1 to 7.

10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the charge-out task processing method according to any one of claims 1 to 7.