CN111435483A - Data quality inspection method and device, storage medium and terminal - Google Patents

Abstract

A data quality inspection method and device, a storage medium, and a terminal, the data quality inspection method includes: acquiring data to be inspected, determining the data type of the data to be inspected, and an operator modifying the data to be inspected; The operator and/or data type of the data to be inspected divides the data to be inspected into multiple data packets, and the data to be inspected for different operators or data types is divided into different data packets; The data type of the data to be quality-checked in the data package and/or the attribute information of the operator determines the quality-check ratio of each data package; the data in the data package is extracted for review according to the quality-check ratio of each data package. Through the technical solution of the present invention, the quality inspection ratio can be determined, and the data audit quality can be improved while reducing the cost.

Description

Data quality inspection method and device, storage medium and terminal

technical field

The invention relates to the technical field of data processing, and in particular, to a data quality inspection method and device, a storage medium and a terminal.

Background technique

At present, many products on the market have quality inspection links for data modification. In order to save costs, sampling quality inspection is generally adopted.

In the prior art, a fixed ratio is usually used for sampling quality inspection. A fixed sampling quality inspection ratio can be used according to different processing stages.

However, in the prior art, when the sampling inspection is performed according to a fixed sampling inspection ratio, if the quality inspection ratio is too high, the cost will be high, and if the quality inspection ratio is too low, the data quality will be affected.

SUMMARY OF THE INVENTION

The technical problem solved by the present invention is how to determine the quality inspection ratio, so as to improve the quality of data auditing while reducing the cost.

In order to solve the above technical problems, an embodiment of the present invention provides a data quality inspection method. The data quality inspection method includes: acquiring data to be inspected, determining the data type of the data to be inspected, and modifying the data type of the data to be inspected. Operator; according to the operator and/or data type of the data to be inspected, the data to be inspected is divided into multiple data packets, and the data to be inspected for different operators or data types is divided into different data packets ;According to the data type of the data to be inspected in each data packet and/or the attribute information of the operator, determine the quality inspection ratio of each data packet; extract the data in the data packet according to the quality inspection ratio of each data packet review.

Optionally, the attribute information of the operator includes one or more of the following: the operator's historical job accuracy rate, the operator's professional level, the operator's modification operation type for the data package, and the operator's operation for various data types. duration.

Optionally, determining the quality inspection ratio of each data packet according to the data type of the data to be quality inspected in each data packet and/or the attribute information of the operator includes one or more of the following: judging the operator The higher the accuracy rate of the operator's historical work, the lower the quality inspection ratio; judging the operator's professional level of the operator, the higher the operator's professional level, the lower the quality inspection ratio. The lower the inspection ratio; the operator's modification operation type is judged, if the modification operation type belongs to the preset operation type, the quality inspection ratio is the first ratio, otherwise it is the second ratio, and the first ratio is high at the second ratio; judging the data type and the operation time of the operator for the data type, the longer the operation time, the lower the quality inspection ratio.

Optionally, the determining the quality inspection ratio of each data packet according to the data type of the data to be quality-checked in each data packet and/or the attribute information of the operator includes: according to the data of the data to be quality-checked in the data packet. The preset accuracy rate corresponding to the type determines the quality inspection ratio of the data packet, and the preset accuracy rate is positively correlated with the quality inspection ratio.

Optionally, the data to be inspected includes modified map data, reimbursement documents and documents.

Optionally, the attribute information of the operator is determined according to the historical statistical information of the operator, and the method further includes: updating the historical statistical information of the operator according to an audit result.

In order to solve the above technical problems, the embodiment of the present invention also discloses a data quality inspection device, the data quality inspection device includes: a data acquisition module to be inspected, which is suitable for acquiring the data to be inspected, and determining the data of the data to be inspected. a data type and an operator who modifies the data to be quality-checked; a data packet division module adapted to divide the data to be quality-checked into multiple data packets according to the operator and/or data type of the data to be quality-checked, The data to be inspected by different operators or data types are divided into different data packets; the quality inspection ratio determination module is suitable for the data type of the data to be inspected in each data packet and/or the attribute information of the operator, Determine the quality inspection ratio of each data packet; the auditing module is suitable for extracting the data in the data packet according to the quality inspection ratio of each data packet for auditing.

Optionally, the attribute information of the operator includes one or more of the following: the operator's historical job accuracy rate, the operator's professional level, the operator's modification operation type for the data package, and the operator's operation for various data types. duration.

Optionally, the quality inspection ratio determination module includes one or more of the following units: a historical operation accuracy rate judgment unit, adapted to judge the operator's historical operation accuracy rate of the operator, the higher the operator's historical operation accuracy rate is. high, the lower the quality inspection ratio; the professional level judgment unit, suitable for judging the operator's professional level of the operator, the higher the operator's professional level, the lower the quality inspection ratio; the modification operation type judgment unit , suitable for judging the operator's modification operation type, if the modification operation type belongs to the preset operation type, the quality inspection ratio is the first ratio, otherwise it is the second ratio, and the first ratio is higher than the first ratio Two proportions; an operation duration judgment unit, adapted to determine the data type and the operation duration of the operator for the data type, the longer the operation duration, the lower the quality inspection ratio.

Optionally, the quality inspection ratio determination module includes: a quality inspection ratio determination unit, adapted to determine the quality inspection ratio of the data packet according to a preset accuracy rate corresponding to the data type of the data to be quality inspected in the data packet, The preset accuracy rate is positively correlated with the quality inspection ratio.

Optionally, the data to be inspected includes modified map data, reimbursement documents and documents.

Optionally, the attribute information of the operator is determined according to the historical statistical information of the operator, and the apparatus further includes: an update module adapted to update the historical statistical information of the operator according to an audit result.

In order to solve the above technical problem, an embodiment of the present invention further discloses a storage medium, which stores computer instructions, and executes the steps of the data quality inspection method when the computer instructions are run.

To solve the above technical problem, an embodiment of the present invention further discloses a terminal, including a memory and a processor, the memory stores computer instructions that can be run on the processor, and the processor runs the computer instructions When performing the steps of the data quality inspection method.

Compared with the prior art, the technical solutions of the embodiments of the present invention have the following beneficial effects:

The technical scheme of the present invention acquires the data to be inspected, and determines the data type of the data to be inspected and the operator who modifies the data to be inspected; according to the operator and/or data type of the data to be inspected The data to be inspected is divided into multiple data packets, and the data to be inspected for different operators or data types is divided into different data packets; according to the data type and/or operator of the data to be inspected in each data packet The attribute information of each data packet is determined, and the quality inspection ratio of each data packet is determined; the data in the data packet is extracted for auditing according to the quality inspection ratio of each data packet. The technical solution of the present invention can dynamically adjust the quality inspection ratio for the data to be inspected modified by different operators and/or the data to be inspected of different data types by combining the data type of the data to be inspected and the difference of the attribute information of the operator , so that a more appropriate quality inspection ratio can be determined to reduce costs and improve the quality of data review.

Further, the operator's attribute information includes one or more of the following: the operator's historical job accuracy rate, the operator's professional level, the operator's modification operation type for data packages, and the operator's operation duration for various data types. The technical solution of the present invention combines the different attribute information of the operator, specifically the historical job accuracy rate of the operator, the operator's professional level, the operator's modification operation type for the data package, and the operator's operation duration for various data types, as a consideration. Factors determine the quality inspection ratio, which further ensures the appropriateness of the quality inspection ratio, reduces costs and improves the quality of data auditing.

Description of drawings

1 is a flowchart of a data quality inspection method according to an embodiment of the present invention;

2 is a partial flowchart of a data quality inspection method according to an embodiment of the present invention;

3 is a schematic structural diagram of a data quality inspection device according to an embodiment of the present invention;

FIG. 4 is a schematic structural diagram of a specific implementation manner of the quality inspection ratio determination module 303 shown in FIG. 3 .

Detailed ways

As described in the background art, however, in the prior art, when the sampling inspection is performed according to a fixed sampling inspection ratio, if the quality inspection ratio is too high, the cost will be high, and if the quality inspection ratio is too low, the data quality will be affected.

The technical solution of the present invention can dynamically adjust the quality inspection ratio for the data to be inspected modified by different operators and/or the data to be inspected of different data types by combining the difference between the data type and the attribute information of the operator, so as to determine more Appropriate QC ratio to reduce costs and improve data review quality.

In order to make the above objects, features and advantages of the present invention more clearly understood, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

FIG. 1 is a flowchart of a data quality inspection method according to an embodiment of the present invention.

The data quality inspection method shown in Figure 1 may include the following steps:

Step S101: Acquire the data to be inspected, and determine the data type of the data to be inspected and the operator who modifies the data to be inspected;

Step S102: Divide the data to be inspected into multiple data packets according to the operator and/or data type of the data to be inspected, and divide the data to be inspected for different operators or data types into different data packets ;

Step S103: Determine the quality inspection ratio of each data packet according to the data type of the data to be inspected in each data packet and/or the attribute information of the operator;

Step S104: Extracting the data in the data packet for auditing according to the quality inspection ratio of each data packet.

In this embodiment, the data to be checked for quality may be data that needs to be checked for data quality. The data to be inspected can have different expressions in different application scenarios.

In the specific implementation of step S101, the data to be quality-checked may be acquired from the system that forms the data to be quality-checked. For example, the map data modified by the operator can be obtained from the electronic map system; the reimbursement documents that have passed the preliminary examination can be obtained from the reimbursement system. And it can determine the data type of the data to be quality-checked and the operator who modifies the data to be quality-checked. Specifically, the data type may refer to the attribute to be checked. More specifically, it can be real-time data, such as bus routes, traffic conditions, etc.; it can also be static data, such as hotel locations, restaurant locations, and the like.

It can be understood that the data type may also be any other implementable type, which is not limited in this embodiment of the present invention.

In the specific implementation of steps S102 and S103, the data to be quality-checked may be divided into multiple data packets according to the operator of the data to be quality-checked, or the data to be quality-checked may be divided into multiple data packets according to data types The data to be quality-checked may also be divided into multiple data packets according to the operator and data type of the data to be quality-checked.

Data to be inspected for different operators or data to be inspected for different data types will be divided into different data packages. Since different data packets have differences in operator or data type, after the quality inspection ratio of each data packet is determined according to the data type of the data to be quality-checked in the data packet and/or the attribute information of the operator, the quality inspection ratio of each data packet is determined. Can have different quality inspection ratios.

Furthermore, in the specific implementation of step S104, data may be extracted for auditing according to the quality inspection ratio of the data packets. For example, if the quality inspection ratio of a data packet is 60%, then 60% of the total amount of data can be extracted from the data packet.

In the embodiment of the present invention, the quality inspection ratio can be dynamically adjusted for the data to be inspected modified by different operators and/or the data to be inspected of different data types by combining the difference between the data type of the data to be inspected and the attribute information of the operator , so that a more appropriate quality inspection ratio can be determined to reduce costs and improve the quality of data review.

In a specific application scenario of the present invention, the data to be checked for quality may include modified map data. In this embodiment, in the electronic map system, map data needs to be updated and modified. In order to ensure the correctness of the modified data, it is necessary to conduct quality inspection and review of the modified map data. In order to reduce the cost of quality inspection and improve the quality of auditing, the data quality inspection method shown in Figure 1 can be used to determine the quality inspection ratio of the modified map data, and conduct an audit.

In another specific application scenario of the present invention, the data to be inspected may include reimbursement documents and documents. In this embodiment, in order to ensure the accuracy of the reimbursement documents and documents, it is necessary to conduct quality inspection and review on the reimbursement documents and documents. In order to reduce the cost of quality inspection and improve the quality of audit, the data quality inspection method shown in Figure 1 can be used to determine the proportion of quality inspection of reimbursement documents and documents, and conduct audits.

In a preferred embodiment of the present invention, the operator's attribute information includes one or more of the following: the operator's historical job accuracy rate, the operator's professional level, the operator's modification operation type for the data package, and the operator's Job duration for each data type.

In a specific implementation, the attribute information of the operator may be obtained by statistics in advance. Among them, the correct rate of the operator's historical work refers to the percentage of correct data modified by the operator in the data that has been reviewed; the operator's professional level can indicate the operator's professionalism and proficiency; the operator's modification to the data package The operation type refers to the specific operation of modification, such as update, delete, add, etc.; the operation time of the operator for various data types refers to the time spent by the operator to modify the data of various data types.

The above attribute information of the operator can affect the quantity of data to be extracted for quality inspection, that is, the quality inspection ratio. Therefore, when determining the quality inspection ratio, the operator's attribute information is considered in the determination process of the quality inspection ratio, so as to reduce the cost and improve the quality of data auditing.

Further, please refer to FIG. 1 and FIG. 2 , step S103 shown in FIG. 1 may include one or more of the following:

Step S201: judging the accuracy rate of the operator's historical work of the operator, the higher the accuracy rate of the operator's historical work, the lower the quality inspection ratio;

Step S202: Judging the operator's professional level of the operator, the higher the operator's professional level, the lower the quality inspection ratio;

Step S203: Judge the modification operation type of the operator, if the modification operation type belongs to the preset operation type, the quality inspection ratio is the first ratio, otherwise it is the second ratio, and the first ratio is higher than the first ratio. two proportions;

Step S204: Determine the data type and the operation duration of the operator for the data type. The longer the operation duration is, the lower the quality inspection ratio is.

In this embodiment, the relationship between the attribute information of the operator and the quality inspection ratio of the quality inspection is described. The data to be quality-checked is divided into a plurality of data packets according to the operator of the data to be quality-checked. After the data packet division is completed, the operators of the data to be quality-checked in the same data packet are the same.

In the specific implementation of step S201, the accuracy rate of the operator's historical work of the operator is determined, and the higher the accuracy rate of the operator's historical work, the lower the quality inspection ratio. In other words, the higher the correct rate of the operator's historical work, the higher the correct rate of the operator's modification of the data, so less data to be inspected can be extracted for review, that is, a lower percentage of quality inspection can be determined.

In the specific implementation of step S202, the higher the professional level of the operator, the higher the professionalism and proficiency of the operator, and the smaller the error rate of the operator, so less data to be inspected can be extracted for review, that is, the determination of Lower quality inspection ratio.

In the specific implementation of step S203, the preset modification operation type and the quality inspection ratio have a set relationship. Specifically, the data error rate of the preset operation type is relatively high, so more data to be quality-checked can be extracted for review, that is, a higher quality-check ratio can be determined. In this case, if the modification operation type belongs to the preset operation type, the quality inspection ratio is the first ratio, otherwise it is the second ratio, and the first ratio is higher than the second ratio.

Alternatively, the data error rate of the preset operation type is low, so less data to be checked for quality can be extracted for review, that is, a smaller percentage of quality check can be determined. In this case, if the modification operation type belongs to the preset operation type, the quality inspection ratio is the first ratio, otherwise it is the second ratio, and the first ratio is lower than the second ratio.

In the specific implementation of step S204, since the operation duration of the operator for different types of data is different, the data type and the operation duration of the operator for the data type can be determined. The longer the operation time is, the longer it takes the operator to modify the data type, and the error rate of modification is lower, so a lower quality inspection ratio can be determined.

It should be noted that the specific calculation relationship between the quality inspection ratio and the accuracy rate of the historical work of the operator, the professional level of the operator, the preset modification operation type or the operation duration can be configured according to the actual application environment, which is not implemented in this embodiment of the present invention. limit.

In another preferred embodiment of the present invention, step S103 shown in FIG. 1 may include the step of: determining the quality inspection ratio of the data packet according to the preset accuracy rate corresponding to the data type of the data to be quality inspected in the data packet, and the The preset accuracy rate is positively related to the quality inspection ratio.

The data to be quality-checked is divided into a plurality of data packets according to the data type of the data to be quality-checked. After the data packet division is completed, the data types of the data to be checked in the same data packet are the same.

In this embodiment, different types of data to be quality-checked may correspond to different preset accuracy rates. The preset accuracy rate indicates the accuracy requirement for the modified data to be inspected. The higher the preset accuracy of the data to be quality-checked, the higher the quality-checked ratio of the data to be quality-checked. That is to say, the higher the preset accuracy, the more data to be extracted for quality inspection.

It should be understood by those skilled in the art that the specific value of the preset accuracy rate may be adaptively configured according to an actual application scenario, which is not limited in this embodiment of the present invention.

In yet another preferred embodiment of the present invention, the data to be quality-checked is divided into multiple data packets according to the operator and data type of the data to be quality-checked. After the data packet division is completed, the operator and data type of the data to be inspected in the same data packet are the same.

Furthermore, when determining the quality inspection ratio, it can be determined according to the historical operation accuracy rate of the operator, the professional level of the operator, the preset modification operation type or operation duration, and the preset accuracy rate corresponding to the data type. For specific implementations, reference may be made to the foregoing embodiments, which are not repeated here.

In another preferred embodiment of the present invention, the attribute information of the operator is determined according to the historical statistical information of the operator, and the data quality inspection method shown in FIG. 1 may further include the following steps: updating the operator's attribute information according to the audit result. Historical statistics.

In this embodiment, the attribute information of the operator is determined according to the historical statistical information of the operator. After this audit is completed, the audit results can be updated to the operator's historical statistical information, so that the operator's attribute information can be updated to make the quality inspection ratio determined in the next data quality inspection process more accurate, thereby further reducing costs. And improve the quality of data auditing.

FIG. 3 is a schematic structural diagram of a data quality inspection apparatus according to an embodiment of the present invention.

The data quality inspection device 30 may include a data acquisition module 301 to be inspected, a data packet division module 302 , a quality inspection ratio determination module 303 and an audit module 304 .

Wherein, the data acquisition module 301 to be inspected is adapted to acquire the data to be inspected, and to determine the data type of the data to be inspected and the operator who modifies the data to be inspected; the data packet division module 302 is adapted to The operator and/or data type of the data to be inspected divides the data to be inspected into multiple data packets, and the data to be inspected for different operators or data types is divided into different data packets; the quality inspection ratio determination module 303 is suitable for determining the quality inspection ratio of each data packet according to the data type of the data to be quality inspected in each data packet and/or the attribute information of the operator; the audit module 304 is suitable for extracting according to the quality inspection ratio of each data packet The data in this packet is audited.

The embodiment of the present invention can dynamically adjust the quality inspection ratio for the data to be inspected modified by different operators and/or the data to be inspected of different data types by combining the difference between the data types and the attribute information of the operators, so that it is possible to determine more Appropriate QC ratio to reduce costs and improve data review quality

Preferably, the operator's attribute information includes one or more of the following: the operator's historical job accuracy rate, the operator's professional level, the operator's modification operation type for data packages, and the operator's operation duration for various data types .

Further, as shown in FIG. 4 , the quality inspection ratio determination module 303 shown in FIG. 3 may include one or more of the following units:

The historical operation accuracy rate judging unit 3031 is adapted to determine the operator's historical operation accuracy rate of the operator, the higher the operator's historical operation accuracy rate, the lower the quality inspection ratio;

The professional level judging unit 3032 is adapted to determine the operator's professional level of the operator, the higher the operator's professional level, the lower the quality inspection ratio;

The modification operation type judgment unit 3033 is adapted to judge the modification operation type of the operator. If the modification operation type belongs to a preset operation type, the quality inspection ratio is the first ratio, otherwise it is the second ratio. The first ratio is higher than the second ratio;

The operation duration judging unit 3034 is adapted to determine the data type and the operation duration of the operator for the data type. The longer the operation duration is, the lower the quality inspection ratio is.

In another preferred embodiment of the present invention, the quality inspection ratio determination module 303 shown in FIG. 3 may include a quality inspection ratio determination unit (not shown in the figure), which is adapted to preset according to the data type of the data to be inspected in the data packet Accuracy rate, to determine the quality inspection ratio of the data packet, and the preset accuracy rate is positively correlated with the quality inspection ratio.

In yet another preferred embodiment of the present invention, the attribute information of the operator is determined according to the historical statistical information of the operator, and the data quality inspection device 30 may further include: an update module (not shown in the figure), which is suitable for auditing according to the The result updates the historical statistics of the operator.

For more content about the working principle and working mode of the data quality inspection apparatus 30, reference may be made to the relevant descriptions in FIG. 1 to FIG. 2, and details are not repeated here.

The embodiment of the present invention further discloses a storage medium, on which computer instructions are stored, and when the computer instructions are executed, the steps of the data quality inspection method shown in FIG. 1 or FIG. 2 can be executed. The storage medium may include ROM, RAM, magnetic or optical disks, and the like. The storage medium may also include a non-volatile memory (non-volatile) or a non-transitory (non-transitory) memory and the like.

An embodiment of the present invention further discloses a terminal, where the terminal may include a memory and a processor, and the memory stores computer instructions that can be executed on the processor. When the processor executes the computer instructions, the steps of the data quality inspection method shown in FIG. 1 or FIG. 2 may be executed. The terminals include but are not limited to terminal devices such as mobile phones, computers, and tablet computers.

Although the present invention is disclosed above, the present invention is not limited thereto. Any person skilled in the art can make various changes and modifications without departing from the spirit and scope of the present invention. Therefore, the protection scope of the present invention should be based on the scope defined by the claims.

Claims (10)

1. a data quality inspection method, is characterized in that, comprises: Obtain the data to be inspected, and determine the data type of the data to be inspected and the operator who modifies the data to be inspected; Divide the data to be inspected into multiple data packets according to the operator and/or data type of the data to be inspected, and divide the data to be inspected for different operators or data types into different data packets; Determine the quality inspection ratio of each data packet according to the data type of the data to be inspected in each data packet and/or the attribute information of the operator; According to the quality inspection ratio of each data packet, the data in the data packet is extracted for review. 2 . The data quality inspection method according to claim 1 , wherein the attribute information of the operator includes one or more of the following: the accuracy rate of the operator's historical work, the operator's professional level, the operator's target data package The type of modification operation and the duration of the operator's job for various data types. 3. The data quality inspection method according to claim 2, wherein the quality inspection of each data packet is determined according to the data type of the data to be quality inspected in each data packet and/or the attribute information of the operator Proportions include one or more of the following: Judging the correct rate of the operator's historical work, the higher the correct rate of the operator's historical work, the lower the quality inspection ratio; Judging the operator's professional level of the operator, the higher the operator's professional level, the lower the quality inspection ratio; Judging the modification operation type of the operator, if the modification operation type belongs to a preset operation type, the quality inspection ratio is the first ratio, otherwise it is the second ratio, and the first ratio is higher than the second ratio; The data type and the operation duration of the operator for the data type are determined, and the longer the operation duration is, the lower the quality inspection ratio is. 4 . The data quality inspection method according to claim 1 , wherein the quality inspection of each data packet is determined according to the data type of the data to be inspected in each data packet and/or the attribute information of the operator. 5 . Scale includes: The quality inspection ratio of the data packet is determined according to a preset accuracy rate corresponding to the data type of the data to be quality inspected in the data packet, and the preset accuracy rate is positively correlated with the quality inspection ratio. 5. The data quality inspection method according to any one of claims 1 to 4, wherein the attribute information of the operator is determined according to the historical statistical information of the operator, and the method further comprises: The historical statistical information of the operator is updated according to the audit result. 6. A data quality inspection device, characterized in that it comprises: an acquisition module for data to be inspected, adapted to acquire data to be inspected, and to determine the data type of the data to be inspected and an operator who modifies the data to be inspected; The data packet division module is adapted to divide the data to be inspected into multiple data packets according to the operator and/or data type of the data to be inspected, and the data to be inspected for different operators or data types is divided into different packets; The quality inspection ratio determination module is suitable for determining the quality inspection ratio of each data packet according to the data type of the data to be quality inspection in each data packet and/or the attribute information of the operator; The auditing module is suitable for extracting the data in the data package for auditing according to the quality inspection ratio of each data package. 7 . The data quality inspection device according to claim 6 , wherein the attribute information of the operator includes one or more of the following: the accuracy rate of the operator’s historical work, the operator’s professional level, the operator’s target data package The type of modification operation and the duration of the operator's job for various data types. 8. The data quality inspection device according to claim 7, wherein the quality inspection ratio determination module comprises one or more of the following units: A historical operation accuracy rate judgment unit, adapted to determine the operator's historical operation accuracy rate of the operator, the higher the operator's historical operation accuracy rate, the lower the quality inspection ratio; a professional level judging unit, suitable for judging the operator's professional level of the operator, the higher the operator's professional level, the lower the quality inspection ratio; The modification operation type judgment unit is adapted to judge the modification operation type of the operator. If the modification operation type belongs to a preset operation type, the quality inspection ratio is the first ratio, otherwise, it is the second ratio. One ratio is higher than the second ratio; The operation duration judgment unit is adapted to determine the data type and the operation duration of the operator for the data type. The longer the operation duration is, the lower the quality inspection ratio is. 9 . A storage medium on which computer instructions are stored, wherein the computer instructions execute the steps of the data quality inspection method according to any one of claims 1 to 5 when the computer instructions are run. 10 . 10. A terminal, comprising a memory and a processor, wherein the memory stores computer instructions that can be run on the processor, wherein the processor executes claims 1 to 5 when the processor runs the computer instructions The steps of any one of the data quality inspection methods.

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