An audit work order real-time quality inspection method, system, device and storage medium

Abstract

The embodiment of the application discloses a kind of auditing work order real-time quality inspection method, system, equipment and storage medium, it is related to computer technical field.The technical scheme provided in the embodiment of the application, by real-time acquisition content auditing is completed, the auditing work order is filtered based on first set work order condition, obtain the work order to be detected;Further, the auditing work order is traversed, the cumulative work order quantity that meets second set work order condition in auditing work order is determined, in the case where cumulative work order quantity reaches each set value, trigger sampling opportunity;Then, based on sampling opportunity, extract the work order to be detected, obtain quality inspection work order, and quality inspection work order is quality inspected.The technical means described above, by screening the real-time generated auditing work order, and further sampling of the work order to be detected is carried out under the condition of triggering sampling opportunity, the efficient quality inspection of mass auditing work order can be realized, the real-time of auditing work order quality inspection is improved, it is convenient to correct wrong review result in time, and user experience is improved.

Description

TECHNICAL FIELD

[0001] Embodiments of the present application relate to the technical field of computer, and particularly relate to a real-time quality inspection method, system, device and storage medium for audit work orders. BACKGROUND

[0002] Currently, a large amount of multimedia content is generated in many Internet scenarios. In order to ensure the legality and security of the multimedia content, the server of an Internet application needs to audit the content and filter out illegal content. Since both algorithmic automatic auditing and manual auditing may have certain incorrect auditing, the server may perform quality inspection on the completed audit work orders to verify the auditing accuracy of the auditing system and correct the incorrect audit work orders in time. When performing quality inspection on the audit work orders, the quality inspection system extracts all audit work orders that need to be inspected from a database in a period of time (such as one day or a number of hours), and performs quality inspection on the audit work orders one by one to output corresponding quality inspection results and reports, thereby completing the quality inspection process of the audit work orders.

[0003] However, the existing quality inspection system for audit work orders needs to perform periodic quality inspection on a large amount of audit work order data, and the quality inspection efficiency is relatively low and lacks real-time performance. A large amount of audit work order data occupies a large amount of storage space, and the cost of quality inspection on the work orders is relatively high. SUMMARY

[0004] Embodiments of the present application provide a real-time quality inspection method, system, device and storage medium for audit work orders, which can improve the quality inspection efficiency and real-time performance of the work orders and solve the technical problems of heavy and inefficient quality inspection tasks of the existing audit work orders.

[0005] In a first aspect, embodiments of the present application provide a real-time quality inspection method for audit work orders, comprising:

[0006] real-time acquisition of completed content auditing audit work orders, filtering of the audit work orders based on first set work order conditions to obtain to-be-inspected work orders;

[0007] traversal of the audit work orders to determine the number of cumulative work orders in the audit work orders that meet second set work order conditions, triggering of an inspection opportunity when the number of cumulative work orders reaches each set value;

[0008] extraction of the to-be-inspected work orders based on the inspection opportunity to obtain quality inspection work orders, and quality inspection of the quality inspection work orders.

[0009] In a second aspect, embodiments of the present application provide a real-time quality inspection system for audit work orders, comprising:

[0010] a filtering module configured to real-time acquisition of completed content auditing audit work orders, filtering of the audit work orders based on first set work order conditions to obtain to-be-inspected work orders;

[0011] The triggering module is configured to traverse the audit work order, determine a cumulative work order quantity that meets the second set work order condition in the audit work order, and trigger the sampling time in a case where the cumulative work order quantity reaches each set value.

[0012] The quality inspection module is configured to sample the work order to be inspected based on the sampling time to obtain a quality inspection work order, and perform quality inspection on the quality inspection work order.

[0013] In a third aspect, an embodiment of the present application provides an audit work order real-time quality inspection device, comprising:

[0014] a memory and one or more processors;

[0015] The memory is configured to store one or more programs.

[0016] When the one or more programs are executed by the one or more processors, the one or more processors implement the audit work order real-time quality inspection method according to the first aspect.

[0017] In a fourth aspect, an embodiment of the present application provides a computer readable storage medium, which stores computer executable instructions, and the computer executable instructions are configured to perform the audit work order real-time quality inspection method according to the first aspect when executed by a computer processor.

[0018] In a fifth aspect, an embodiment of the present application provides a computer program product, which contains instructions, and when the instructions are executed on a computer or a processor, the computer or the processor performs the audit work order real-time quality inspection method according to the first aspect.

[0019] The embodiments of the present application obtain the audit work order completed by real-time content review, filter the audit work order based on the first set work order condition to obtain the work order to be inspected, then traverse the audit work order, determine a cumulative work order quantity that meets the second set work order condition in the audit work order, and trigger the sampling time in a case where the cumulative work order quantity reaches each set value, and then sample the work order to be inspected based on the sampling time to obtain a quality inspection work order, and perform quality inspection on the quality inspection work order. By using the above technical means, the efficient quality inspection of a large number of audit work orders can be realized, the real-time quality inspection of the audit work order is improved, the incorrect review results can be corrected in time, and the user experience is improved. By uniformly sampling the work order to be inspected, the quality inspection work order can comprehensively reflect the review situation of the audit work order, the quality inspection efficiency is improved, and the accurate, comprehensive, and accurate quality inspection of the audit work order is ensured. BRIEF DESCRIPTION OF DRAWINGS

[0020] Figure 1is a flow chart of a real-time quality inspection method for auditing work orders provided by an embodiment of the present application;

[0021] Figure 2 is a real-time acquisition schematic diagram of auditing work orders in an embodiment of the present application;

[0022] Figure 3 is a sampling flow chart of auditing work orders in an embodiment of the present application;

[0023] Figure 4 is a structural schematic diagram of a real-time quality inspection system for auditing work orders provided by an embodiment of the present application;

[0024] Figure 5 is a structural schematic diagram of a real-time quality inspection device for auditing work orders provided by an embodiment of the present application. DETAILED DESCRIPTION

[0025] In order to make the objects, technical solutions and advantages of the present application clearer, the following further describes specific embodiments of the present application in conjunction with the drawings. It can be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application. In addition, it should be noted that, for the convenience of description, only parts related to the present application are shown in the drawings, but not all contents. Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted by flowcharts. Although the flowcharts describe each operation (or step) as a sequential process, many of the operations can be implemented in parallel, concurrently or simultaneously. In addition, the order of the operations can be rearranged. The process can be terminated when its operations are completed, but can also have additional steps not included in the drawings. The process can correspond to a method, function, procedure, subroutine, subprogram, etc.

[0026] The real-time quality inspection method for auditing work orders provided by the present application aims to filter and sample the real-time generated mass auditing work order data, to guarantee that the quality inspection results are comprehensive and reflect the quality inspection situation of the auditing work orders, while improving the auditing work order quality inspection efficiency, and realizing the real-time quality inspection effect of the auditing work orders.

[0027] For the existing quality inspection system, when performing the quality inspection of the audit work order, for the massive audit work order data with a magnitude of more than ten million, a quality inspection is usually performed by a timing query, and the completed audit work order is stored in a database. Then, a quality inspection is performed on the audit work order in the database by a timing task at regular intervals, and the corresponding quality inspection result is output, so as to complete the quality inspection process of the audit work order. In this way, on the one hand, the data storage pressure is brought, and on the other hand, the configuration of the query index is relatively numerous. Unreasonable table structure and index can cause the quality inspection speed of the audit work order to be slow, affect the quality inspection efficiency, and even cause the database to be down, so that the quality inspection task is forced to terminate. Based on this, an audit work order real-time quality inspection method is provided to solve the technical problems of heavy and inefficient quality inspection of the audit work order.

[0028] Embodiment

[0029] Figure 1 A flowchart of an audit work order real-time quality inspection method provided by the embodiment of the application is given. The audit work order real-time quality inspection method provided in the embodiment can be executed by an audit work order real-time quality inspection device. The audit work order real-time quality inspection device can be realized by software and / or hardware. The audit work order real-time quality inspection device can be composed of two or more physical entities, or can be composed of one physical entity. Generally, the audit work order real-time quality inspection device can be a server host, a computer, a processor, or the like processing device.

[0030] The following describes an example in which the audit work order real-time quality inspection device is taken as the main body for executing the audit work order real-time quality inspection method. Referring to Figure 1 The audit work order real-time quality inspection method specifically includes the following steps.

[0031] S110, real-time acquisition of the audit work order completed content review, screening of the audit work order based on the first set work order condition, and obtaining of the to-be-inspected work order;

[0032] S120, traversal of the audit work order, determination of the cumulative work order quantity in the audit work order that meets the second set work order condition, and triggering of the sampling opportunity in the case where the cumulative work order quantity reaches each set value;

[0033] S130, extraction of the to-be-inspected work order based on the sampling opportunity, obtaining of the quality inspection work order, and quality inspection of the quality inspection work order.

[0034] When performing the audit work order real-time quality inspection, the application combines the work order screening with the sampling method, so as to guarantee that the quality inspection result fully reflects the quality inspection situation of the audit work order, improve the quality inspection efficiency of the audit work order, and realize the real-time quality inspection of the audit work order.

[0035] In the audit work order quality inspection scene, taking content review of an Internet application as an example. During the use of the Internet application, the user generates multimedia content (such as live video, short video, text, picture, audio, etc.) in the application by operating the application, and uploads the multimedia content to the server. The server pushes the multimedia content generated by the user to the review system for review by receiving the multimedia content generated by the user. After receiving the data to be reviewed, the review system distributes the multimedia content for manual review in the form of a work order, or pushes it to the review machine for automatic review. After completing the work order review, the review result based on the audit work order can be used to judge whether the user's multimedia content complies with the Internet rules, and the illegal content is processed (such as deletion, prohibition of uploading, etc.).

[0036] Further, the quality inspection system is used to quality inspect the above-mentioned completed audit work order. A quality inspector initiates a creation of a quality inspection task request, the quality inspection system receives the request, creates a task, writes it into a quality inspection task pool, and returns a quality inspection task creation success. The data flow of the completed audit work order is completed in real time to the quality inspection system, which first filters the audit work order to obtain an audit work order that meets the filtering condition. This filtering condition is defined as the first set work order condition, and the filtered audit work order is the work order to be inspected. It can be understood that for different quality inspection tasks, the content attributes, quality inspection directions, and review personnel of the audit work order to be inspected are different. Therefore, in order to conduct quality inspection on a certain part of the audit work order, the quality inspection task can pre-set the corresponding work order condition to filter the part of the audit work order to be inspected, and obtain the corresponding work order to be inspected. The specific condition content of the first set work order condition can be the reviewer, the review result, the review content, and multiple different dimensions. The specific content and quantity of the work order condition are not limited in this application, and will not be described here.

[0037] Since the number of audit work orders generated in real time is large, even if filtered by data, the order of magnitude is still large. In order to improve the quality inspection efficiency, the work orders to be inspected need to be sampled for inspection, and the quality inspection is performed on a small number of audit work orders to avoid a long time-consuming quality inspection process. Based on this, the embodiments of the present application filter the audit work orders obtained in real time according to the corresponding work order conditions, and define the work order conditions as second set work order conditions. The second set work order conditions can be the same as the first set work order conditions, or part of the first set work order conditions. The user sets the second set work order conditions according to the sampling direction as needed, filters the audit work orders through the second set work order conditions, and accumulates the number of filtered work orders to obtain an accumulated work order number. When the accumulated work order number reaches a set value, the sampling opportunity is triggered, indicating that the number of work orders in the current audit work orders that meet the sampling direction has been accumulated to the number that can be sampled, at which time the quality inspection work orders are sampled from the work orders to be inspected that meet the first set work order conditions, and the quality inspection process of the quality inspection work orders is completed. By combining the triggering of the sampling opportunity to sample the work orders to be inspected, the work orders to be inspected can be sampled at intervals, avoiding the fact that the sampled audit work orders reflect the audit situation one-sidedly, and improving the comprehensiveness and accuracy of the quality inspection results.

[0038] After that, the quality inspector obtains suitable quality inspection work orders through sampling, completes the quality inspection of the work orders, and outputs the quality inspection results. The auditor learns about the current latest audit error situation through various channels (error notification, quality inspection report, etc.) and corrects it. In this way, the quality inspection of the audit work orders can be quickly completed, avoiding the situation that the multimedia content uploaded by the user is incorrectly audited and cannot be recovered in time, and improving the user experience.

[0039] Specifically, referring to Figure 2 When the audit work orders completed for content audit are obtained in real time, the embodiments of the present application monitor the incremental event data of the audit work orders in real time, and determine the audit work orders completed for content audit based on the incremental event data. For various audit work orders (such as live work order data, text work order data, audio work order data, picture work order data, etc.), they can be saved in various databases (such as mysql, oracle, tidb, etc.). By shielding the differences of various databases, the incremental and real-time work order data in each audit work order service is abstracted into a kind of incremental event data. Then, by collecting and processing the incremental event data of the corresponding service, the real-time data of each service, i.e., the audit work orders completed for audit, can be obtained. It can be understood that for an audit work order, after completing the audit, it will be written into the corresponding database, and the incremental record change of the audit work order in the database will be monitored to obtain the incremental event data of the audit work order.

[0040] Further, based on the real-time obtained audit work order, the audit work order is distributed to each quality inspection task by means of the message queue, that is, the audit work order can be filtered and sampled by the quality inspection task. By directly consuming real-time audit work order data and adjusting the number of message queue partitions and the number of consumers to avoid message backlog, the incremental event data can be consumed and processed by the quality inspection task in real time. By abstracting real-time data into incremental event data, on the one hand, the audit system and the quality inspection system can be decoupled, and on the other hand, each business system can convert real-time work order data into incremental event data according to local conditions. For example, live work order data is stored using mysql, and the innodb engine of mysql writes real-time work order data into the table while writing the record of this real-time change (newly added / modified / deleted record) into the binlog file. Real-time parsing of the binlog log file can obtain the required latest work order data in real time. Therefore, by using incremental event data, the newly generated completed audit work order can be obtained in real time, and the real-time performance of the audit work order quality inspection is improved.

[0041] Optionally, since the message queue itself supports very high throughput, on this basis, the number of partitions and consumers can be increased to quickly consume the audit work order. Each work order can be considered as an independent individual, and a plurality of threads can be used in each consumer to process a large number of work orders in parallel, so as to further improve the efficiency of the audit work order quality inspection and improve the real-time performance of the work order quality inspection.

[0042] Further, with reference to Figure 3 , based on the real-time obtained audit work order, the first set work order condition and the second set work order condition are used for screening, respectively, to filter and sample the audit work order, and the corresponding quality inspection work order is obtained. The acquisition formula of the quality inspection work order can be expressed as:

[0043] filter(x1……xn)*limit(compare(total,current)*threshold(y1……yn))

[0044] Wherein, "x1...xn" is n ticket conditions to be searched in the quality inspection task, that is, the first set ticket condition. The ticket data of each review ticket can know whether it meets the condition of the task through the filter function. Then the ticket data that does not meet the ticket condition is automatically discarded, and the data that meets the condition can be considered as the to-be-inspected ticket of the current task. The filter function is different from the where condition filtering in SQL. The embodiments of the present application simplify it to various "if else", "switch case" and other condition judgment and or not combination operations. The result after operation is 1 or 0. 1 indicates that the ticket meets the condition, and 0 indicates that the ticket does not meet the condition. At the same time, the third-party tools such as jackson can be flexibly used in the filter function to parse and process the unstructured data such as json, compatible with various filter scenarios, and improve the flexibility and adaptability of data parsing.

[0045] On the other hand, the threshold function is used to determine the inspection opportunity of the ticket. The threshold function is a controllable rate adjustment factor of the quality inspection task, which is used to adjust the rationality of the inspection speed and the uniformity of the inspected tickets, and at the same time to avoid the accumulation and card of the review tickets. The controllable rate adjustment factor is used to interval inspect the tickets. And since the quality inspection task is to inspect the to-be-inspected tickets that meet the corresponding ticket condition, the review ticket here also needs to meet the quality inspection direction of the quality inspection task. Based on this, the embodiments of the present application determine the review ticket that meets the second set ticket condition by setting the second set ticket condition. Wherein, "y1...yn" is n statistical dimensions required for screening the ticket. The review ticket that does not meet the statistical condition will be discarded, and the review ticket that meets the condition will be accumulated in a statistical value, that is, the cumulative number of tickets. Then the triggering of the inspection opportunity is determined by judging whether the cumulative number of tickets reaches the set value in real time.

[0046] Specifically, the present application determines that the cumulative number of tickets reaches the set value when the cumulative number of tickets is greater than the set threshold value, and the set threshold value is incremented after the corresponding inspection opportunity completes the extraction of the to-be-inspected ticket. The set threshold value is set according to the actual inspection speed and uniformity requirement. For example, the initial value of the set threshold value is 0. When the cumulative number of tickets starts to be counted, the inspection opportunity can be triggered to start extracting the quality inspection ticket from the to-be-inspected ticket. After completing the extraction of the quality inspection ticket once, the set threshold value is incremented to m. Then when the cumulative number of tickets is greater than m, the inspection opportunity is triggered again to extract the quality inspection ticket from the to-be-inspected ticket for the second time, and the set threshold value is incremented. In this way, interval inspection of the to-be-inspected ticket is realized. The situation that the quality inspection task pressure is large due to too fast inspection rate is avoided.

[0047] Optionally, when the incremental setting is performed, the threshold value is incremented by a set step, so that n audit work orders are obtained every time, that is, the sampling inspection of audit work orders is performed once. In this way, the audit work orders can be uniformly sampled, and the uniformity of the quality inspection of work orders is ensured. For example, the initial value of the threshold value is 0, and the set step is 100. When the counting of the cumulative number of work orders starts, the sampling inspection opportunity is triggered, and the quality inspection work order is extracted from the to-be-inspected work orders. After completing the sampling inspection of the quality inspection work order, the threshold value is incremented by 100. When the cumulative number of work orders is greater than the current threshold value 100, the sampling inspection opportunity is triggered again, and the quality inspection work order is extracted from the to-be-inspected work orders for the second time, and the threshold value is incremented by 200. In this way, the extraction of the quality inspection work order is completed.

[0048] It should be noted that after the sampling inspection opportunity is triggered, if the number of to-be-inspected work orders is zero, the current sampling inspection opportunity is skipped. For the case that the cumulative number of work orders triggers the sampling inspection opportunity, if there is no to-be-inspected work order at this time, the quality inspection task ignores this sampling inspection opportunity. The next audit work order is traversed, the cumulative number of work orders is incremented by 1, and the sampling inspection opportunity is triggered again. If there is a to-be-inspected work order, the to-be-inspected work order is randomly extracted. If there is no to-be-inspected work order, this sampling inspection opportunity is also ignored. The next audit work order is traversed, the cumulative number of work orders is incremented by 1, and the sampling inspection opportunity is triggered again. In this way, the to-be-inspected work order is extracted, and the threshold value is updated.

[0049] Through the above filter function and threshold function, the filtering and sampling inspection of the audit work order can be realized. Optionally, before the to-be-inspected work order is extracted based on the sampling inspection opportunity, the application embodiment also obtains the extraction number of the quality inspection work order that is completed by extraction. If the extraction number reaches the set extraction limit, the extraction of the quality inspection work order is ended.

[0050] The limit function is used to limit the extraction number of the quality inspection work order. The limit function is similar to the limit function in sql, which is used to reasonably limit the number of quality inspection work orders, so as to avoid that the large number of quality inspection work orders affects the quality inspection efficiency. By comparing the extraction number of the quality inspection work order that is completed by extraction in real time with the set extraction limit, the extraction of the quality inspection work order is ended when the extraction number reaches the set extraction limit, so as to avoid that the quality inspection process takes too long.

[0051] Optionally, setting the extraction limit includes setting the extraction quantity or setting the extraction percentage. Under the extraction quantity limit, total is the total quantity of quality inspection required for this task, current is the current quantity of quality inspection, when total>current indicates that the current work order can be extracted, the difference between the two is the extractable quantity, and the extractable quantity is greater than 0, then the compare function outputs the result as 1, otherwise 0; in the case of extraction percentage limit, because the audit work order data contains real-time and future data, the current cannot predict the total quantity of future data. Therefore, by setting a minimum extractable percentage current, for each quality inspection work order ready to be extracted, a random extractable probability total is configured. Then compare the two, total>current indicates that the current work order can be extracted. And each extractable work order in the future is combined to form the total extractable percentage. The extractable work order compare function outputs 1, and the non-extractable output is 0.

[0052] Finally, through the above quality inspection work order acquisition formula, when the filter function and the limit function are both 1, it means that it is a quality inspection work order. Therefore, the processing of a large number of audit work order data can be simplified to a stream processing of each work order. All stream computing audit work orders with 1 can represent the quality inspection work order set in the mass data, so as to complete the real-time and rate-controllable extraction of quality inspection work orders.

[0053] Based on the above real-time quality inspection method of audit work order, the quality inspection system selects part of the audit work order for quality inspection from the mass of audit work order, and reflects the current online audit accuracy through the audit accuracy obtained by the extraction of the to-be-inspected work order. While ensuring the quality of the inspection, the efficiency of the inspection is improved. Moreover, the more recent the quality inspection audit work order is, the higher the quality inspection efficiency is, the more it can reflect the most real-time online audit accuracy, and the faster it can correct the online audit errors.

[0054] In addition, the additional storage cost and additional calculation cost of the extraction data are determined by the resources required by the producer and the consumer. Because the storage cost of data is determined by the storage time of the message, the shorter the storage time, the smaller the required storage space. Moreover, messages exceeding the storage time will be automatically cleaned up, so the storage space can be recycled. By real-time quality inspection of audit work order, the storage time of audit work order is shortened to save storage space and save storage cost.

[0055] The above, by real-time acquisition of the completed content review review work order, based on the first set of work order conditions screening review work order, get the inspection work order; Further traversal of the review work order, determine the cumulative number of work orders in the review work order that meet the second set of work order conditions, in the case of cumulative work order quantity reaches each set of values, trigger the sampling opportunity; Then based on the sampling opportunity to extract the inspection work order, get the quality inspection work order, quality inspection of the quality inspection work order. The above technical means, by screening the real-time generated review work order, and further sampling of the inspection work order under the condition of triggering the sampling opportunity, can realize the efficient quality inspection of the massive review work order, improve the real-time of the review work order quality inspection, facilitate timely correction of the wrong review result, improve the user experience. And by uniform sampling of the inspection work order, so that the quality inspection work order fully reflects the review situation of the review work order, while improving the quality inspection efficiency, guaranteeing the accuracy, comprehensiveness and reflecting the quality inspection situation of the review work order of the quality inspection result.

[0056] On the basis of the above embodiment, Figure 4 The structure diagram of an audit work order real-time quality inspection system provided by the application is shown in the figure. Figure 4 The audit work order real-time quality inspection system provided by the embodiment specifically includes: a screening module 21, a triggering module 22 and a quality inspection module 23.

[0057] The screening module 21 is configured to real-time acquire the completed content review review work order, based on the first set of work order conditions screening review work order, get the inspection work order;

[0058] The triggering module 22 is configured to traverse the review work order, determine the cumulative number of work orders in the review work order that meet the second set of work order conditions, in the case of cumulative work order quantity reaches each set of values, trigger the sampling opportunity;

[0059] The quality inspection module 23 is configured to extract the inspection work order based on the sampling opportunity, get the quality inspection work order, quality inspection of the quality inspection work order.

[0060] Specifically, in the case of cumulative work order quantity greater than the set threshold, determine that the cumulative work order quantity reaches the set value, the set threshold is incremented after the extraction of the inspection work order is completed at the corresponding sampling opportunity.

[0061] Specifically, the set threshold is incremented by a set step.

[0062] Specifically, after triggering the sampling opportunity, it further includes:

[0063] In the case that the number of inspection work orders is zero, skip the current sampling opportunity.

[0064] Specifically, before extracting the inspection work order based on the sampling opportunity, it further includes:

[0065] The extraction quantity of the quality inspection work order currently completed extraction is obtained, and in the case that the extraction quantity reaches the set extraction limit, the extraction of the quality inspection work order is ended.

[0066] Specifically, setting the extraction limit includes setting the extraction quantity or setting the extraction percentage.

[0067] Specifically, the audit work order completed content review is obtained in real time, including:

[0068] The incremental event data of the audit work order is monitored in real time, and the audit work order completed content review is determined based on the incremental event data.

[0069] The above, by obtaining the audit work order completed content review in real time, the audit work order is screened based on the first set work order condition to obtain the to-be-inspected work order; then the audit work order is traversed to determine the cumulative work order quantity in the audit work order that meets the second set work order condition, in the case that the cumulative work order quantity reaches each set value, the extraction opportunity is triggered; then the to-be-inspected work order is extracted based on the extraction opportunity to obtain the quality inspection work order, and the quality inspection work order is inspected. By using the above technical means, the real-time quality inspection of the audit work order can be realized by screening the audit work order generated in real time, and further extracting the to-be-inspected work order in the extraction opportunity triggering case, the real-time quality inspection of the audit work order is improved, the incorrect review results can be corrected in time, and the user experience is improved. And by uniformly extracting the to-be-inspected work order, the quality inspection work order can fully reflect the review situation of the audit work order, improve the quality inspection efficiency, and ensure the accuracy, comprehensiveness and quality inspection of the review work order.

[0070] The audit work order real-time quality inspection system provided by the embodiments of the present application can be configured to execute the audit work order real-time quality inspection method provided by the above embodiments, and has the corresponding functions and beneficial effects.

[0071] On the basis of the above actual examples, the embodiments of the present application further provide an audit work order real-time quality inspection device, which is referred to Figure 5The audit work order real-time quality inspection device includes a processor 31, a memory 32, a communication module 33, an input device 34, and an output device 35. The memory 32 is a computer readable storage medium and is configured to store software programs, computer executable programs, and modules, such as program instructions / modules (for example, a screening module, a triggering module, and a quality inspection module in the audit work order real-time quality inspection system) of the audit work order real-time quality inspection method according to any of the embodiments. The communication module 33 is configured to perform data transmission. The processor 31 performs various functional applications and data processing of the device by running the software programs, instructions, and modules stored in the memory, that is, implements the audit work order real-time quality inspection method described above. The input device 34 can be configured to receive input digital or character information and generate key signal input related to user settings and function control of the device. The output device 35 can include a display device such as a display screen. The audit work order real-time quality inspection device provided above can be configured to perform the audit work order real-time quality inspection method provided in the above embodiments and has corresponding functions and beneficial effects.

[0072] On the basis of the above-described embodiments, the embodiments of the present application further provide a computer readable storage medium storing computer executable instructions, which are configured to perform an audit work order real-time quality inspection method when executed by a computer processor. The storage medium can be any of various types of memory devices or storage devices. Of course, the computer executable instructions of the computer readable storage medium provided in the embodiments of the present application are not limited to the audit work order real-time quality inspection method described above, but can also perform related operations in the audit work order real-time quality inspection method provided in any of the embodiments of the present application.

[0073] On the basis of the above-described embodiments, the embodiments of the present application further provide a computer program product. The technical solutions of the present application essentially or the parts that make contributions to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer program product is stored in a storage medium and includes instructions for causing a computer device, a mobile terminal, or a processor therein to perform all or part of the audit work order real-time quality inspection method described in the embodiments of the present application.

Claims

1. A method for auditing work order real-time quality inspection, characterized in that, The method comprises the following steps: real-time acquisition of audit work orders completed content review, screening of the audit work orders based on the first set of work order conditions, and obtaining the work orders to be inspected; traversing the audit work orders, determining the cumulative number of work orders in the audit work orders that meet the second set of work order conditions, and triggering the sampling opportunity when the cumulative number of work orders reaches each set value; sampling the work orders to be inspected based on the sampling opportunity to obtain quality inspection work orders, and performing quality inspection on the quality inspection work orders; The acquisition formula of the quality inspection work orders can be expressed as: filter(x1……xn)*limit(compare(total,current)*threshold(y1……yn)) Wherein, x1……xn represents the first set of work order conditions, the filter function is used to screen the work orders to be inspected based on the first set of work order conditions, y1……yn represents the second set of work order conditions, the threshold function is used to screen the quality inspection work orders based on the second set of work order conditions, the limit function is used to limit the sampling number of the quality inspection work orders, total is the total number of quality inspection required for this task, current is the number of quality inspection work orders that have been sampled, and compare is used to output the sampling number of the quality inspection work orders according to total and current.

2. The method of claim 1, wherein the method further comprises: The cumulative number of work orders reaches each set value, comprising: In the case that the cumulative number of work orders is greater than the set threshold, it is determined that the cumulative number of work orders reaches the set value, and the set threshold is increased after the sampling of the work orders to be inspected is completed at the corresponding sampling opportunity.

3. The method of claim 2, wherein the step of determining the quality of the audit work order comprises: The set threshold is increased by a set step.

4. The method of claim 1, wherein the method further comprises: After triggering the sampling opportunity, it further comprises: In the case that the number of work orders to be inspected is zero, the current sampling opportunity is skipped.

5. The method of claim 1, wherein the method further comprises: Before sampling the work orders to be inspected based on the sampling opportunity, it further comprises: Obtain the sampling number of the quality inspection work orders that have been sampled, and end the sampling of the quality inspection work orders when the sampling number reaches the set sampling limit.

6. The method of claim 5, wherein the step of determining the quality of the audit work order comprises: The set sampling limit includes the set sampling number or the set sampling percentage.

7. The method of claim 1, wherein the method further comprises: The real-time acquisition of audit work orders completed content review comprises: Real-time monitoring of the incremental event data of the audit work orders, and determining the audit work orders completed content review based on the incremental event data.

8. An auditing work order real-time quality inspection system, characterized in that, The method comprises the following steps: The screening module is configured to real-time acquisition of audit work orders completed content review, screening of the audit work orders based on the first set of work order conditions, and obtaining the work orders to be inspected; The triggering module is configured to traverse the audit work orders, determine the cumulative number of work orders in the audit work orders that meet the second set of work order conditions, and trigger the sampling opportunity when the cumulative number of work orders reaches each set value; The quality inspection module is configured to sample the work orders to be inspected based on the sampling opportunity to obtain quality inspection work orders, and perform quality inspection on the quality inspection work orders; The acquisition formula of the quality inspection work orders can be expressed as: filter(x1……xn)*limit(compare(total,current)*threshold(y1……yn)) Wherein, x1…xn represents the first set of ticket conditions, the filter function is used to filter the to-be-inspected ticket based on the first set of ticket conditions, y1…yn represents the second set of ticket conditions, the threshold function is used to filter the quality inspection ticket based on the second set of ticket conditions, the limit function is used to limit the extraction quantity of the quality inspection ticket, total is the total quality inspection quantity required for this task, current is the quantity of the quality inspection ticket that has been extracted, and compare is used to output the extractable quantity of the quality inspection ticket according to total and current.

9. An auditing work order real-time quality inspection device, characterized in that, Comprise: a memory and one or more processors; the memory is configured to store one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors implement the quality inspection method for real-time quality inspection of audit tickets according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer executable instructions, which when executed by a computer processor, are configured to perform the quality inspection method for real-time quality inspection of audit tickets according to any one of claims 1-7.

11. A computer program product, characterised in that, The computer program product contains instructions, which when executed on a computer or processor, cause the computer or processor to perform the quality inspection method for real-time quality inspection of audit tickets according to any one of claims 1-7.

Images