WO2020119115A1

WO2020119115A1 - Data verification method, device, apparatus, and storage medium

Info

Publication number: WO2020119115A1
Application number: PCT/CN2019/095841
Authority: WO
Inventors: 罗成洋
Original assignee: 平安医疗健康管理股份有限公司
Priority date: 2018-12-13
Filing date: 2019-07-12
Publication date: 2020-06-18
Also published as: CN109685454A

Abstract

A data verification method, a device, an apparatus, and a storage medium. The method comprises: acquiring, upon receiving a data verification instruction, data to be verified, and acquiring idle input queues from a pre-determined message input queue cluster as current input queues (S10); dividing, according to a queue quantity of the current input queues, the data into groups, and correspondingly allocating the grouped data to the current input queues (S20); and performing, by means of multiple pre-determined verification modules, independent concurrent verification on each piece of the grouped data in the current input queues, and sending a verification result to a pre-determined message output queue to output the verification result concurrently (S30). The method adds message input queues at the cloud, divides data into groups, and performs concurrent data processing by means of the multiple verification modules, thereby improving the efficiency of verifying match medical data, and resolving the existing technical problem of inefficient medical data verification.

Description

Data review method, device, equipment and storage medium The

This application requires the priority of the Chinese patent application filed on December 13, 2018 in the Chinese Patent Office with the application number 201811525851.2 and the invention titled "Data Review Method, Device, Equipment, and Storage Medium", the entire contents of which are incorporated by reference in Applying.

Technical field

The present application relates to the field of data processing technology, and in particular, to a data review method, device, device, and computer-readable storage medium.

Background technique

With the rapid rise in medical expenses, incidents of insurance fund penetration have occurred from time to time. Therefore, the risk control of medical insurance is very important and urgent. At present, due to the increasing business volume of medical insurance claims, the medical data required for risk review has also increased in large quantities. The current medical data review rules are to review the data in the order in which the medical data is received, resulting in low efficiency in the review of existing medical data.

Therefore, how to solve the low efficiency of the existing medical data review has become a technical problem that needs to be solved urgently.

Summary of the invention

The main purpose of the present application is to provide a data review method, device, equipment, and computer-readable storage medium, which are aimed at solving the technical problems of low medical data review efficiency.

To achieve the above purpose, the present application provides a data review method, which includes the following steps:

When receiving the data review instruction, obtain the data to be reviewed, and obtain the idle input queue in the preset message input queue cluster as the current input queue;

Grouping the data to be reviewed according to the number of queues in the current input queue, and correspondingly assigning the grouped data to be reviewed to the current input queue;

Through a plurality of preset review modules, each group of data to be reviewed in the current input queue is subject to parallel review, and each review result is sent to a preset message output queue to output each review result in parallel.

Optionally, the step of grouping the data to be audited according to the number of queues in the current input queue, and correspondingly assigning the grouped data to be audited to the current input queue includes:

Classify the data to be reviewed according to the preset data type and the data identifier of the data to be reviewed;

Obtain the number of types of data to be reviewed and the number of queues in the current input queue, and determine whether the number of types matches the number of queues;

If the number of types matches the number of queues, the classified data to be audited is grouped according to the data type, and the grouped data to be audited is allocated to the corresponding current input queue.

Optionally, the plurality of preset review modules respectively conduct parallel review of each grouped data to be reviewed in the current input queue, and send each review result to a preset message output queue to output each in parallel The steps to review the results include:

According to the grouping data type corresponding to each grouping data to be reviewed in the current input queue, obtain several corresponding types of reviewing modules in the preset reviewing module respectively;

Through the several corresponding types of audit modules, each type of grouped data to be audited is audited in parallel, and each audit result is sent to a preset message output queue to output each audit result in parallel.

Optionally, the plurality of preset review modules respectively review each packet data to be reviewed in the current input queue in parallel, and send each review result to a preset message output queue to output each in parallel After the steps to review the results, it also includes:

When receiving the data re-audit instruction, obtain the change data in each of the group data to be audited;

Run several processes in the corresponding review module to review the change data in the corresponding group data to be reviewed in parallel;

Sending the audit results of each group data to be audited to the message output queue, and reading the audit result data in the message output queue in an asynchronous manner to output each audit result in parallel.

Optionally, the plurality of preset review modules respectively review each packet data to be reviewed in the current input queue in parallel, and send each review result to a preset message output queue to output each in parallel The steps to review the results include:

Through several preset review modules, each of the grouped data to be reviewed in the current input queue is subject to parallel review;

Obtaining audit results corresponding to each group data to be audited, and judging whether there is abnormal audit data in the audit results;

If the abnormal audit data does not exist, each audit result is sent to a preset message output queue to output each audit result in parallel.

Optionally, after the step of obtaining the audit result corresponding to each group data to be audited and judging whether there is abnormal audit data in the audit result, the method further includes:

If the abnormal audit data exists, add the grouping data to be audited corresponding to the abnormal audit data to the preset secondary audit queue;

The second review is performed on the group data to be reviewed corresponding to the abnormal review result through other review modules, and the review result of the second review is sent to the message output queue and the review result of the second review is output. The

Optionally, the data review method further includes:

Obtain the data quantity and review time of each group data to be reviewed, and calculate each review efficiency corresponding to each group data to be reviewed according to the data amount and review time;

Obtain the qualified audit efficiency among the various audit efficiencies, and determine whether the proportion of the qualified audit efficiency reaches a standard proportional value, where the qualified audit efficiency is the audit efficiency that reaches a preset threshold;

If the proportion of the qualified audit efficiency does not reach the standard ratio value, a reminder message that the hardware needs to be upgraded is generated and displayed to increase the number of audit modules by increasing hardware resources.

In addition, in order to achieve the above object, the present application also provides a data review device, the data review device includes:

Through several preset review modules, each of the grouped data to be reviewed in the current input queue is subject to parallel review, and each review result is sent to a preset message output queue to output each review result in parallel.

In addition, in order to achieve the above object, the present application also provides a data review device, the data review device includes a processor, a memory, and computer readable instructions stored on the memory and executable by the processor, wherein When the computer-readable instructions are executed by the processor, the steps of the data review method described above are implemented.

In addition, in order to achieve the above object, the present application also provides a computer-readable storage medium having computer-readable instructions stored on the computer-readable storage medium, wherein when the computer-readable instructions are executed by a processor, the implementation is as described above Of the data review method.

This application provides a data review method, that is, when a data review instruction is received, the data to be reviewed is obtained, and an idle input queue is obtained in a preset message input queue cluster as a current input queue; according to the current input The number of queues in the queue, grouping the data to be reviewed and grouping the grouped data to be reviewed to the current input queue; through several preset review modules, each of the current input queues The group data to be reviewed are subject to parallel review, and each review result is sent to a preset message output queue to output each review result in parallel. In this way, this application adds a message input queue, and then groups the data to be reviewed, and through several review modules, parallel processing of the grouped data in each message input queue, and then parallel output through the preset message output queue Audit results. By processing data in parallel, the efficiency of auditing large quantities of medical data is improved, and the technical problem of low efficiency of existing medical data audits is solved.

BRIEF DESCRIPTION

FIG. 1 is a schematic diagram of a hardware structure of a data auditing device involved in an embodiment of this application;

2 is a schematic flowchart of the first embodiment of the data review method of the application;

FIG. 3 is a schematic flowchart of a second embodiment of the data review method of the application;

4 is a schematic flowchart of a third embodiment of the data review method of the application;

5 is a schematic diagram of functional modules of the first embodiment of the data review device of the present application.

The implementation, functional characteristics and advantages of the present application will be further described in conjunction with the embodiments and with reference to the drawings.

detailed description

It should be understood that the specific embodiments described herein are only used to explain the present application, and are not used to limit the present application.

The data review method involved in the embodiments of the present application is mainly applied to data review equipment, and the data review equipment may be a device with display and processing functions such as a PC, a portable computer, and a mobile terminal.

Referring to FIG. 1, FIG. 1 is a schematic diagram of a hardware structure of a data auditing device involved in an embodiment of the present application. In the embodiment of the present application, the data review device may include a processor 1001 (for example, a CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components; the user interface 1003 may include a display (Display), an input unit such as a keyboard (Keyboard); the network interface 1004 may optionally include a standard wired interface, a wireless interface (Such as WI-FI interface); the memory 1005 can be a high-speed RAM memory or a stable memory (non-volatile memory), such as a disk storage, the storage 1005 may optionally be a storage device independent of the foregoing processor 1001.

Those skilled in the art may understand that the hardware structure shown in FIG. 1 does not constitute a limitation on the data auditing device, and may include more or less components than those illustrated, or combine certain components, or arrange different components.

With continued reference to FIG. 1, the memory 1005 in FIG. 1 as a computer-readable storage medium may include an operating system, a network communication module, and computer-readable instructions.

In FIG. 1, the network communication module is mainly used to connect to a server and perform data communication with the server; and the processor 1001 can call computer-readable instructions stored in the memory 1005 and execute the data review method provided by the embodiments of the present application.

The embodiments of the present application provide a data review method.

Referring to FIG. 2, FIG. 2 is a schematic flowchart of a first embodiment of a data review method of this application.

In this embodiment, the data review method includes the following steps:

Step S10, When receiving the data review instruction, obtain the data to be reviewed, and obtain the idle input queue in the preset message input queue cluster as the current input queue;

In this embodiment, in order to solve the technical problem of low medical data review efficiency, a data review method is provided, which is applied to the data review system. The data review system includes a server and computer-readable instructions. The data review system verifies medical review data in terms of the medical review data. The medical review data is collected by the medical insurance provider during the entire process from claim settlement to payment of claims. Related data. Among them, the data to be reviewed specifically includes the diagnosis and treatment data (such as diagnosis results, medication conditions, and test conditions) generated during the insured’s treatment and the insured’s related cost data during the claims process (such as treatment settlement amount, medication cost details, Social security compensation amount, compensation amount, etc.). Specifically, the above medical audit data can be obtained as the data to be audited according to the audit items in the risk control audit rules. Specifically, the server constructs multiple message queues in advance to form a message queue cluster. The message queue cluster may specifically include an input message queue cluster and an output message queue cluster. The input message queue cluster is used to receive the original medical audit data, and the output message queue cluster is used to receive the audit result of the medical audit data. Among them, in this embodiment, redis may be used as a message queue, and the message queue does not persistently store data (storing the message in memory and not persistently on devices such as hard disks). When the server receives the data review instruction triggered by the user through computer-readable instructions, it determines the message queue in the idle state in the input message queue cluster, and uses the idle message queue as the current input queue.

Step S20: Group the data to be audited according to the number of queues in the current input queue, and allocate the grouped data to be audited to the current input queue correspondingly;

In this embodiment, data is grouped according to the current number of input queues, that is, the number of current input queues is the same as the number of groups to be reviewed. Specifically, random grouping methods such as random numbers, line numbers, and modulus can be used. The grouped data to be reviewed can be randomly paired with the current input queue, and each grouped data to be reviewed can be sent to the corresponding current input queue. In a specific embodiment, different types of data to be reviewed may correspond to different message queues, and different types of message queues use corresponding processing processes to perform data review to improve the efficiency of data review.

Step S30, through a plurality of preset review modules, respectively reviewing each packet data to be reviewed in the current input queue in parallel, and sending each review result to a preset message output queue to output each review result in parallel.

In this embodiment, each of the grouped data to be reviewed in the current input queue is processed in parallel by the review module preset in the server. Among them, an audit module includes multiple audit processes. Each process runs the same computer-readable instructions, which are compiled according to the audit items in the risk control audit rules. Each process can contain one or more threads. Each process used for data review can separately read the medical data in each group data to be reviewed, and each current input queue can use one or more at the same time. The process reads and audits the packet data to be audited in the current input queue. In order to optimize resource allocation, the number of processes and the number of threads in each process can be determined according to the processing time required by the user and the amount of data that needs to be processed. Different types of data can run different processes for review. Use random allocation to read and review data for each current input queue allocation process and its corresponding thread. Select the same amount of data as the allocated number of threads from each input message queue, and multiple processes simultaneously process the pending packet data in the current input queue. In the process of data review, each thread can review the extracted data in accordance with each audit item in the order in which the risk control audit rules are preset, and generate the corresponding audit results for the data items that failed the audit. The audit results can be The details include the original data that failed the review, the reason for the failure, and the risk level. After determining the audit results, determine the free message queue in the output message queue cluster as the output message queue, and send the audit results to any output message queue. Each thread sends the audit results in parallel. The threads and the output message queue are randomly matched. Way to establish communication. The server of the database can monitor the change data in each output message queue, read and save the change data in the output message queue. In the process of saving, according to different audit items, the failed data can be distributed and stored.

Further, after the step S30, it further includes:

In this embodiment, after the audit is performed in the above manner a preset number of times, the amount of each group data to be reviewed and its review time (that is, the review completion time) are obtained, and the review efficiency of each group data to be reviewed is calculated based on the number and review time. Determine the number of qualified audit efficiencies that meet the standard in each audit efficiency, and calculate the ratio of the qualified audit efficiencies to the total number of each audit efficiency. Wherein, the qualified audit efficiency is the audit efficiency that reaches a preset threshold. And when the proportion of the qualified audit efficiency does not reach the standard ratio, that is, the current audit efficiency is low, a hardware upgrade prompt message is sent to remind the user to upgrade the hardware, such as increasing hardware resources and replacing hardware with higher processing power Resources etc.

This embodiment provides a data auditing method, that is, when a data auditing instruction is received, data to be audited is obtained, and an idle input queue is obtained in a preset message input queue cluster as a current input queue; according to the current The number of queues in the input queue, group the data to be audited, and allocate the grouped data to be audited to the current input queue correspondingly; through a number of preset audit modules, separate the current input queue Each group data to be reviewed is subject to parallel review, and each review result is sent to a preset message output queue to output each review result in parallel. In this way, this application adds a message input queue, and then groups the data to be reviewed, and through several review modules, parallel processing of the grouped data in each message input queue, and then parallel output through the preset message output queue Audit results. By processing data in parallel, the efficiency of auditing large quantities of medical data is improved, and the technical problem of low efficiency of existing medical data audits is solved.

Referring to FIG. 3, FIG. 3 is a schematic flowchart of a second embodiment of a data review method of this application.

Based on the embodiment shown in FIG. 2 above, in this embodiment, the step S20 includes:

Step S21, classify the data to be reviewed according to the preset data type and the data identifier of the data to be reviewed;

In this embodiment, different types of medical review data may correspond to different message queues, and different types of message queues use corresponding processing processes to perform data review to improve the efficiency of data review. Therefore, when the data to be audited is received, the data to be audited can be classified first according to the data type. The data such as diagnosis results, medication conditions, and test conditions are divided into diagnosis and treatment data types, and data such as treatment settlement amount, medication cost details, social insurance compensation amounts, and compensation amounts are divided into expense data types.

Step S22: Obtain the number of types of data to be reviewed and the number of queues in the current input queue, and determine whether the number of types matches the number of queues;

In this embodiment, the number of types of data to be reviewed and the number of queues in the current input queue are obtained, and the number of types is compared with the number of queues to determine whether the number of types is equal to the number of queues. If the number of queues in the current input queue is the same as the number of types of the data to be reviewed, data of each type can be allocated to each queue.

In step S23, if the number of types matches the number of queues, the classified data to be reviewed is grouped according to the data type, and the grouped data to be reviewed is allocated to the corresponding current input queue.

In this embodiment, if the number of current input queues is the same as the number of types of data to be reviewed, each type of data can be allocated to each queue, so that different types of message queues are subject to corresponding processing processes for data review .

Further, the step S30 specifically includes:

In this embodiment, the grouping data type corresponding to each grouping data to be audited in the current input queue is determined, and then the auditing data type corresponding to each auditing module in the preset auditing module is obtained. Based on the grouping data type and auditing data type, the The data of each group to be audited is matched with each audit module. Each message type can be associated with a message queue, and the same type of audit module can only process data in a certain message queue, or only process a specific type of message in each message queue. Multiple instances of the same type of audit module can be executed at the same time, processing data in parallel, and dynamically increasing the number of processing module instances to improve system throughput.

Referring to FIG. 4, FIG. 4 is a schematic flowchart of a third embodiment of a data review method of this application.

Based on the embodiment shown in FIG. 3 above, in this embodiment, after the step S10, it further includes:

Step S41: When receiving the data re-audit instruction, obtain the change data in each of the group data to be audited;

Step S42: Run several processes in the corresponding review module to review the change data in the corresponding group data to be reviewed in parallel;

Step S43: Send the audit results of each pending packet data to the message output queue, and read the audit result data in the message output queue in an asynchronous manner to output each audit result in parallel.

In this embodiment, after the review is completed, if the data re-audit instruction triggered by other medical data operations uploaded by the user is received again, the other medical data uploaded by the user needs to be reviewed. The received other medical data can be allocated to each group data to be reviewed. Each input message queue can simultaneously use one or more processes to read and review the changed data in the input message queue. In order to optimize resource allocation, the number of processes and the number of threads in each process can be determined according to the processing time required by the user and the amount of data that needs to be processed. Different types of data can run different processes for review. Determine the free message queue in the output message queue cluster as the message output queue, and send the audit result to any output message queue. Each thread sends the audit result in parallel, and the communication between the thread and the output message queue is established in a random match. The server of the database can monitor the change data in each message output queue, read and save the change data in the message output queue. In the process of saving, according to different audit items, the failed data can be distributed and stored.

Further, after the step S30, it further includes:

In this embodiment, a retry queue may be set up to save abnormal execution data, and other audit modules may be selected for re-execution according to the retry strategy. After reviewing each grouped data to be reviewed in the current input queue through several review modules, it is determined whether there is abnormal review data, such as the review process is interrupted, and the review result parameter is an error parameter. Group data to be audited corresponding to the abnormal audit data, where the group data to be audited corresponding to the abnormal audit data may be a specific piece of data or multiple pieces of data in the group data. Add the to-be-audited grouping data corresponding to the abnormal audit data to the secondary audit queue, and perform the secondary audit by reviewing the audit module other than the abnormal audit data. Then, the audit results of the second audit are sent to the message output queue for parallel output.

In addition, the embodiments of the present application also provide a data review device.

Referring to FIG. 5, FIG. 5 is a schematic diagram of functional modules of the first embodiment of the data review device of the present application.

In this embodiment, the data review device includes:

The queue generation module 10 is used to obtain data to be reviewed when receiving the data review instruction, and obtain an idle input queue in the preset message input queue cluster as the current input queue;

The data grouping module 20 is configured to group the data to be audited according to the number of queues in the current input queue, and allocate the grouped data to be audited to the current input queue correspondingly;

The parallel review module 30 is used to perform parallel review on each of the pending packet data in the current input queue through several preset review modules, and send each review result to a preset message output queue for parallel output The results of each audit.

Further, the data review device further includes:

The efficiency calculation module is used to obtain the data quantity and audit time of each group data to be audited, and calculate each audit efficiency corresponding to each group data to be audited according to the data quantity and audit time;

The proportion judgment module is used to obtain the qualified audit efficiency among the respective audit efficiencies, and judge whether the proportion of the qualified audit efficiency reaches a standard proportion value, wherein the qualified audit efficiency is the audit efficiency that reaches a preset threshold;

Further, the data grouping module 20 includes:

A data classification unit, configured to classify the data to be reviewed according to a preset data type and a data identifier of the data to be reviewed;

A quantity judgment unit, used to obtain the number of types of the data to be reviewed and the number of queues of the current input queue, and judge whether the number of types matches the number of queues;

The data grouping unit is configured to group the classified data to be reviewed according to the data type if the number of types matches the number of queues, and allocate the grouped data to be reviewed to the corresponding current input queue.

Further, the parallel review module 30 includes:

A module matching unit, configured to obtain several corresponding types of audit modules in the preset audit module according to the packet data types corresponding to each packet data to be audited in the current input queue;

The parallel review unit is used to perform parallel review on each type of grouped data to be reviewed through the corresponding review modules, and send each review result to a preset message output queue to output each review result in parallel .

Further, the data review device further includes:

The data monitoring module is used to obtain the changed data in each of the grouped data to be reviewed when the data re-audit instruction is received;

The first review module is used to run several processes in the corresponding review module, and review the change data in the corresponding group data to be reviewed in parallel;

The first output module is used to send the audit results of each pending packet data to the message output queue, and read the audit result data in the message output queue in an asynchronous manner to output each audit result in parallel.

Further, the data review device further includes:

A first review module, configured to perform parallel review on each group data to be reviewed in the current input queue through several preset review modules;

The abnormality judgment module is used to obtain the audit result corresponding to each of the grouped data to be audited and determine whether there is abnormal audit data in the audit result;

The second output module is used to send each audit result to a preset message output queue if the abnormal audit data does not exist to output each audit result in parallel.

A data adding module, used to add the grouped data to be audited corresponding to the abnormal audit data to the preset secondary audit queue if the abnormal audit data exists;

The second review module is used to perform second review on the group data to be reviewed corresponding to the abnormal review result through other review modules, and send the review result of the second review to the message output queue and output the second review Audit results. The

Wherein, each module in the above-mentioned data auditing device corresponds to each step in the above-mentioned data auditing method embodiment, and its function and implementation process will not be repeated here one by one.

In addition, embodiments of the present application also provide a computer-readable storage medium, and the computer-readable storage medium may be a non-volatile readable storage medium.

The computer-readable storage medium of the present application stores computer-readable instructions, where the computer-readable instructions are executed by a processor to implement the steps of the data review method as described above.

The method implemented when the computer-readable instructions are executed can refer to various embodiments of the data review method of the present application, and details are not described herein again.

It should be noted that in this article, the terms "include", "include" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system that includes a series of elements includes not only those elements, It also includes other elements that are not explicitly listed, or include elements inherent to this process, method, article, or system. Without more restrictions, the element defined by the sentence "include one..." does not exclude that there are other identical elements in the process, method, article or system that includes the element.

The sequence numbers of the above embodiments of the present application are for description only, and do not represent the advantages and disadvantages of the embodiments.

Through the description of the above embodiments, those skilled in the art can clearly understand that the methods in the above embodiments can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware, but in many cases the former is better Implementation. Based on this understanding, the technical solution of the present application can be embodied in the form of a software product in essence or part that contributes to the existing technology, and the computer software product is stored in a storage medium (such as ROM/RAM as described above) , Magnetic disk, optical disk), including several instructions to make a terminal device (which can be a mobile phone, computer, server, air conditioner, or network equipment, etc.) to perform the method described in each embodiment of the present application.

The above are only the preferred embodiments of the present application, and do not limit the scope of the patent of the present application. Any equivalent structure or equivalent process transformation made by the description and drawings of this application, or directly or indirectly used in other related technical fields , The same reason is included in the scope of patent protection in this application.

Claims

A data review method, characterized in that the data review method includes the following steps:

When receiving the data review instruction, obtain the data to be reviewed, and obtain the idle input queue in the preset message input queue cluster as the current input queue;

Grouping the data to be reviewed according to the number of queues in the current input queue, and correspondingly assigning the grouped data to be reviewed to the current input queue;

Through several preset review modules, each of the grouped data to be reviewed in the current input queue is subject to parallel review, and each review result is sent to a preset message output queue to output each review result in parallel.
The data auditing method according to claim 1, wherein the data to be audited are grouped according to the number of queues of the current input queue, and the grouped data to be audited are allocated to the corresponding The steps of the current input queue include:

Classify the data to be reviewed according to the preset data type and the data identifier of the data to be reviewed;

Obtain the number of types of data to be reviewed and the number of queues in the current input queue, and determine whether the number of types matches the number of queues;

If the number of types matches the number of queues, the classified data to be audited is grouped according to the data type, and the grouped data to be audited is allocated to the corresponding current input queue.
The data auditing method according to claim 2, characterized in that, through a plurality of preset auditing modules, each group of data to be audited in the current input queue is audited in parallel, and each audit result is sent to The preset message output queue to output each audit result in parallel includes:

According to the grouping data type corresponding to each grouping data to be reviewed in the current input queue, obtain several corresponding types of reviewing modules in the preset reviewing module respectively;

Through the several corresponding types of audit modules, each type of grouped data to be audited is audited in parallel, and each audit result is sent to a preset message output queue to output each audit result in parallel.
The data auditing method according to claim 1, characterized in that, through a plurality of preset auditing modules, each group of data to be audited in the current input queue is audited in parallel, and each audit result is sent to After the preset message output queue to output each audit result in parallel, it also includes:

When receiving the data re-audit instruction, obtain the change data in each of the group data to be audited;

Run several processes in the corresponding review module to review the change data in the corresponding group data to be reviewed in parallel;

Sending the audit results of each group data to be audited to the message output queue, and reading the audit result data in the message output queue in an asynchronous manner to output each audit result in parallel.
The data auditing method according to claim 1, characterized in that, through a plurality of preset auditing modules, each group of data to be audited in the current input queue is audited in parallel, and each audit result is sent to The preset message output queue to output each audit result in parallel includes:

Through several preset review modules, each of the grouped data to be reviewed in the current input queue is subject to parallel review;

Obtaining audit results corresponding to each group data to be audited, and judging whether there is abnormal audit data in the audit results;

If the abnormal audit data does not exist, each audit result is sent to a preset message output queue to output each audit result in parallel.
The data review method according to claim 5, wherein after the step of acquiring the review result corresponding to each of the grouped data to be reviewed and determining whether there is abnormal review data in the review result, the method further comprises:

If the abnormal audit data exists, add the grouping data to be audited corresponding to the abnormal audit data to the preset secondary audit queue;

The second review is performed on the group data to be reviewed corresponding to the abnormal review result through other review modules, and the review result of the second review is sent to the message output queue and the review result of the second review is output. The
The data review method of claim 1, wherein the data review method further comprises:

Obtain the data quantity and review time of each group data to be reviewed, and calculate each review efficiency corresponding to each group data to be reviewed according to the data amount and review time;

Obtain the qualified audit efficiency among the various audit efficiencies, and determine whether the proportion of the qualified audit efficiency reaches a standard proportional value, where the qualified audit efficiency is the audit efficiency that reaches a preset threshold;

If the proportion of the qualified audit efficiency does not reach the standard ratio value, a reminder message that the hardware needs to be upgraded is generated and displayed to increase the number of audit modules by increasing hardware resources.
A data review device, characterized in that the data review device includes:

The queue generation module is used to obtain the data to be reviewed when receiving the data review instruction, and obtain the idle input queue in the preset message input queue cluster as the current input queue;

A data grouping module, configured to group the data to be audited according to the number of queues in the current input queue, and allocate the grouped data to be audited to the current input queue correspondingly;

The parallel review module is used to parallel review each packet data to be reviewed in the current input queue through several preset review modules, and send each review result to a preset message output queue to output each in parallel Audit results.
The data auditing device according to claim 8, wherein the data auditing device further comprises:

A first review module, configured to perform parallel review on each group data to be reviewed in the current input queue through several preset review modules;

The abnormality judgment module is used to obtain the audit result corresponding to each of the grouped data to be audited and determine whether there is abnormal audit data in the audit result;

The second output module is used to send each audit result to a preset message output queue if the abnormal audit data does not exist to output each audit result in parallel.

A data adding module, used to add the grouped data to be audited corresponding to the abnormal audit data to the preset secondary audit queue if the abnormal audit data exists;

The second review module is used to perform second review on the group data to be reviewed corresponding to the abnormal review result through other review modules, and send the review result of the second review to the message output queue and output the second review Audit results. The
The data review device of claim 8, wherein the data grouping module comprises:

A data classification unit, configured to classify the data to be reviewed according to a preset data type and a data identifier of the data to be reviewed;

A quantity judgment unit, used to obtain the number of types of the data to be reviewed and the number of queues of the current input queue, and judge whether the number of types matches the number of queues;

The data grouping unit is configured to group the classified data to be reviewed according to the data type if the number of types matches the number of queues, and allocate the grouped data to be reviewed to the corresponding current input queue.
The data review apparatus of claim 8, wherein the parallel review module includes:

A module matching unit, configured to obtain several corresponding types of audit modules in the preset audit module according to the packet data types corresponding to each packet data to be audited in the current input queue;

The parallel review unit is used to perform parallel review on each type of grouped data to be reviewed through the corresponding review modules, and send each review result to a preset message output queue to output each review result in parallel .
The data auditing device according to claim 8, wherein the data auditing device further comprises:

The data monitoring module is used to obtain the changed data in each of the grouped data to be reviewed when the data re-audit instruction is received;

The first review module is used to run several processes in the corresponding review module, and review the change data in the corresponding group data to be reviewed in parallel;

The first output module is used to send the audit results of each pending packet data to the message output queue, and read the audit result data in the message output queue in an asynchronous manner to output each audit result in parallel.
A data review device, characterized in that the data review device includes a processor, a memory, and computer-readable instructions stored on the memory and executable by the processor, wherein the computer-readable instructions are When executed by the processor, the steps of the data review method according to claim 1 are implemented.
A data review device, characterized in that the data review device includes a processor, a memory, and computer-readable instructions stored on the memory and executable by the processor, wherein the computer-readable instructions are When executed by the processor, the steps of the data review method according to claim 2 are implemented.
A data review device, characterized in that the data review device includes a processor, a memory, and computer-readable instructions stored on the memory and executable by the processor, wherein the computer-readable instructions are When executed by the processor, the steps of the data review method of claim 3 are implemented.
A data review device, characterized in that the data review device includes a processor, a memory, and computer-readable instructions stored on the memory and executable by the processor, wherein the computer-readable instructions are When executed by the processor, the steps of the data review method according to claim 4 are implemented.
A computer-readable storage medium, characterized in that computer-readable instructions are stored on the computer-readable storage medium, wherein when the computer-readable instructions are executed by a processor, the data audit method of claim 1 is implemented step.
A computer-readable storage medium, characterized in that computer-readable instructions are stored on the computer-readable storage medium, wherein when the computer-readable instructions are executed by a processor, the data audit method according to claim 2 is implemented step.
A computer-readable storage medium, characterized in that computer-readable instructions are stored on the computer-readable storage medium, wherein when the computer-readable instructions are executed by a processor, the data audit method according to claim 3 is implemented step.
A computer readable storage medium, characterized in that computer readable instructions are stored on the computer readable storage medium, wherein when the computer readable instructions are executed by a processor, the data audit method according to claim 4 is implemented step. The