Auditing method and system of big data intelligent auditing system

Abstract

The invention relates to the field of data processing, in particular to an auditing method and system of a big data intelligent auditing system.The method comprises the steps that a to-be-audited request is received, the to-be-audited request comprises a request terminal ID and pre-built first request instruction information, and the first request instruction information comprises a request type and an operation execution time period corresponding to the request type; determining a corresponding request terminal according to the terminal request ID, and calling an operation request processing log of the request terminal in a preset time period to judge the running state of the request terminal; and correcting the request type and the operation execution time period in the first request instruction information according to a judgment result. By calling the operation request processing log of the request terminal in the preset time period, the operation state of the request terminal is judged, and the request type and the operation execution time period in the first request instruction information are corrected, so that the replacement time or maintenance time of each terminal is accurately judged, and the operation efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the field of data processing, and in particular to an auditing method and system for a big data intelligent auditing system. Background Art

[0002] Multiple user terminals are set in a service institution to input user information, receive user operation requests, and process the user operation requests, which helps to obtain and process service information.

[0003] During the process of information processing by the terminal, a certain degree of loss will occur, which reduces the speed of information processing and response to user operation requests. Therefore, it is necessary to update or replace the user terminals set in the institution to ensure the good operation of the institution. Usually, when the user terminal cannot affect the user operation request, it means that the user terminal cannot operate normally. At this time, it is necessary to replace or repair the user terminal. However, usually, replacement or repair is carried out only when it is determined that it cannot be used normally, which will affect the user operation request and the response information formed by processing the operation request, resulting in low operating efficiency of the terminals in the institution. Summary of the Invention

[0004] To this end, the present invention provides an auditing method and system for a big data intelligent auditing system, which can solve the problem of low operating efficiency of the terminal.

[0005] To achieve the above object, on the one hand, the present invention provides an auditing method for a big data intelligent auditing system, including: Receiving an audit request to be audited, where the audit request to be audited includes a request terminal ID and pre-constructed first request instruction information, and the first request instruction information includes a request type and an operation execution period corresponding to the request type; Determining a corresponding request terminal according to the terminal request ID, and retrieving an operation request processing log of the request terminal within a preset time period to judge the running state of the request terminal and obtain a judgment result; Modifying the request type and the operation execution period in the first request instruction information according to the judgment result.

[0006] Further, retrieving the operation request processing log of the request terminal within a preset time period to judge the running state of the request terminal and obtain a judgment result includes: Classifying the operation requests according to the request type, determining the start and end times of any operation request within the preset time period, and further determining the actual processing duration of each operation request; Determining a standard processing duration corresponding to each operation request according to the category to which the request type belongs; If, within the preset time, the actual processing duration of any operation request is greater than the standard processing duration, it indicates that the operating state of the requesting terminal is poor, and the requesting terminal needs to be repaired or replaced immediately; If the actual processing duration of any operation request is ≤ the standard processing duration, it indicates that the operating state of the requesting terminal is excellent. Then, when constructing the first request instruction information of the requesting terminal, the operation execution period is postponed.

[0007] Furthermore, when postponing the operation execution period, a first duration T1, a second duration T2, and a third duration T3 are preset; If operation requests are concentrated within the preset time period in the requesting terminal, and if the number of operation requests in the timeout operation set exceeding the standard processing duration / the total number of all operation requests in the operation request set ≤ 20%, the operation execution period is extended by the first duration T1; If 20% < the number of operation requests in the timeout operation set exceeding the standard processing duration / the total number of all operation requests in the operation request set ≤ 80%, the operation execution period is extended by the second duration T2; If the number of operation requests in the timeout operation set exceeding the standard processing duration / the total number of all operation requests in the operation request set > 80%, the operation execution period is extended by the third duration T3.

[0008] Furthermore, when correcting the request type and the operation execution period in the first request instruction information, the network state within the preset time period is extracted. If the network state is good, there is no need to correct the request type and the operation execution period; If the network state is poor, the request type and the operation execution period need to be corrected; Select any two functional modules, and obtain the actual data transmission volume of the two functional modules within the preset time period. If the actual data transmission volume ≥ the standard data transmission volume, the request type remains unchanged, and the operation execution period is reduced to 1 / 2 of the original operation execution period; If the actual data transmission volume < the standard data transmission volume, the request type is changed from replacement to repair, and the operation execution period remains the same as the original operation execution period.

[0009] Furthermore, the request to be reviewed is a repair request or a replacement request. The repair request includes the repair time, and the replacement request includes the replacement time.

[0010] Furthermore, it also includes, based on the corrected request type and operation execution period, performing an operation corresponding to the request type at the operation moment corresponding to the operation execution period of the requesting terminal determined by the terminal request ID, so as to implement the repair review or replacement review of the requesting terminal.

[0011] On the other hand, the present invention also provides an auditing device for a big data intelligent auditing system that applies the auditing method of the big data intelligent auditing system as described above. The auditing device includes: A receiving module for receiving an auditing request to be audited. The auditing request to be audited includes a request terminal ID and pre-constructed first request instruction information. The first request instruction information includes a request type and an operation execution period corresponding to the request type. An extraction module for determining a corresponding request terminal according to the terminal request ID, and extracting an operation request processing log of the request terminal within a preset time period to judge the running state of the request terminal and obtain a judgment result. A correction module for correcting the request type and the operation execution period in the first request instruction information according to the judgment result.

[0012] Furthermore, the extraction module includes: a classification unit, a determination unit, and a judgment unit; The classification unit is used to classify operation requests according to the request type, determine the start and end times of any operation request within a preset time period, and further determine the actual processing duration of each operation request. The determination unit is used to determine a standard processing duration corresponding to each operation request according to the category to which the request type belongs. If, within a preset time, the judgment unit determines that the actual processing duration of any operation request is greater than the standard processing duration, it means that the running state of the request terminal is poor and the request terminal needs to be repaired or replaced immediately; If the actual processing duration of any operation request is ≤ the standard processing duration, it means that the running state of the request terminal is excellent, and when constructing the first request instruction information of the request terminal, the operation execution period is postponed.

[0013] Furthermore, when the correction module postpones the operation execution period, a first duration T1, a second duration T2, and a third duration T3 are preset; If, within the preset time period in the request terminal, the operation requests are concentrated, and if the number of operation requests in the overtime operation set exceeding the standard processing duration / the total number of all operation requests in the operation request set ≤ 20%, the operation execution period is extended by the first duration T1; If 80% ≥ the number of operation requests in the overtime operation set exceeding the standard processing duration / the total number of all operation requests in the operation request set > 20%, the operation execution period is extended by the second duration T2; If the number of operation requests in the overtime operation set exceeding the standard processing duration / the total number of all operation requests in the operation request set > 80%, the operation execution period is extended by the third duration T3.

[0014] Further, when the correction module corrects the request type and the operation execution period in the first request instruction information, extract the network status within a preset time period. If the network status is good, there is no need to correct the request type and the operation execution period; If the network status is poor, the request type and the operation execution period need to be corrected; Select any two functional modules, and obtain the actual data transmission volume of the two functional modules within a preset time period. If the actual data transmission volume ≥ the standard data transmission volume, keep the request type unchanged, and reduce the operation execution period to 1 / 2 of the original operation execution period; If the actual data transmission volume < the standard data transmission volume, change the request type from replacement to repair, and keep the operation execution period as the original operation execution period.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows. By retrieving the operation request processing log of the request terminal within a preset time period, the running state of the request terminal is judged, and the request type and the operation execution period in the first request instruction information are corrected, so as to accurately determine the replacement time or repair time of each terminal, and perform corresponding processing at the accurate time, ensuring the continuous operation of each terminal and improving the operation efficiency.

[0016] In particular, by analyzing the operation request log in the terminal, the type corresponding to the operation request and the corresponding standard processing duration are determined, so as to effectively construct the first instruction information of the request terminal, determine the accurate replacement or repair time node, and ensure the continuous operation of the terminal devices in the organization.

[0017] In particular, by determining the range where the ratio of the number of operation requests in the timeout operation set exceeding the standard processing duration to the number of all operation requests in the operation request set is located, and determining the extension length of the operation execution period according to the ratio range of the two, the processing ability of the terminal with more operation timeouts decreases. Therefore, when determining the operation execution period, the terminal needs to be replaced or repaired as soon as possible. In practical applications, the more accurate the determination of the node of the operation execution period is, the more accurate the replacement or repair can be performed at the corresponding time node, which can ensure that the data in the terminal meets the requirements. However, once the repair time node is not timely, the data obtained in the terminal may have problems, reducing the event processing efficiency in the terminal, thereby affecting the effective determination of the operation execution period node. The embodiment of the present invention greatly improves the effective determination of the operation execution period, improves the determination efficiency and accuracy.

[0018] In particular, by comparing the data transfer volume with the standard data transfer volume, the transmission situation of the network state is determined, and the operation execution period is corrected according to the network state, making the determination of the operation execution period more accurate. Abandoning the situation that in practical applications, the information processing speed of the terminal is affected not only by the quality of the device hardware but also by the network state, enables an effective evaluation of the information processing efficiency of the terminal and improves the accuracy of determining the operation execution period.

[0019] In particular, after determining the request type and the operation execution period, corresponding operations, that is, replacement or repair, are performed on the corresponding request terminal at the corresponding time node, so as to keep the operation within the organization normal, realize the continuous processing of the information within the organization, and improve the circulation and efficiency of the information within the organization. Brief Description of the Drawings

[0020] Figure 1 It is a schematic flowchart of the auditing method of the big data intelligent auditing system provided by an embodiment of the present invention; Figure 2 It is a schematic structural diagram of the auditing device of the big data intelligent auditing system provided by an embodiment of the present invention; Figure 3 It is a schematic structural diagram of the retrieval module in the auditing device of the big data intelligent auditing system provided by an embodiment of the present invention. Detailed Embodiments

[0021] In order to make the objectives and advantages of the present invention clearer, the present invention will be further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0022] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention and do not limit the protection scope of the present invention.

[0023] It should be noted that in the description of the present invention, the terms indicating directions or positional relationships such as "up", "down", "left", "right", "inside", "outside", etc. are based on the directions or positional relationships shown in the drawings. This is only for convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention.

[0024] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installation", "connection", and "coupling" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, and it can be the communication inside two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0025] Please refer to Figure 1 As shown, the auditing method of the big data intelligent auditing system provided by the embodiment of the present invention includes: Step S100: Receive an auditing request, where the auditing request includes a request terminal ID and pre-constructed first request instruction information, and the first request instruction information includes a request type and an operation execution period corresponding to the request type; Step S200: Determine the corresponding request terminal according to the terminal request ID, and retrieve the operation request processing log of the request terminal within a preset time period to judge the running state of the request terminal and obtain a judgment result; Step S300: Modify the request type and the operation execution period in the first request instruction information according to the judgment result.

[0026] Specifically, the application scenario of the auditing method of the big data intelligent auditing system in the embodiment of the present invention can be a medical terminal in a hospital or an operation terminal in a bank. Whether it is a medical terminal or an operation terminal in a hospital, it is an operation port for interacting with users. When a user inputs information in the request terminal, the request terminal processes the user's information and then forms a response information based on the input information. In this process, due to the large amount of data that the request terminal needs to process, there will be a certain degree of loss. When the loss reaches a certain level, maintenance or replacement is required to ensure the normal and orderly operation in the hospital or bank. Therefore, it becomes a crucial matter to repair or replace the terminal at an appropriate time node to ensure the continuous service of the terminal.

[0027] Specifically, the embodiment of the present invention retrieves the operation request processing log of the request terminal within a preset time period to judge the running state of the request terminal, and modifies the request type and the operation execution period in the first request instruction information to accurately determine the replacement time or maintenance time of each terminal, so as to perform corresponding processing at the accurate time, ensure the continuous operation of each terminal, and improve the operation efficiency.

[0028] Specifically, retrieve the operation request processing logs of the request terminal within a preset time period to judge the running status of the request terminal, and the obtained judgment results include: Classify the operation requests according to the request types, determine the start and end times of any operation request within the preset time period, and then determine the actual processing duration of each operation request; Determine the standard processing duration corresponding to each operation request according to the category to which the request type belongs; If, within the preset time, the actual processing duration of any operation request is greater than the standard processing duration, it indicates that the running status of the request terminal is poor, and the request terminal needs to be repaired or replaced immediately; If the actual processing duration of any operation request is ≤ the standard processing duration, it indicates that the running status of the request terminal is excellent, and when constructing the first request instruction information of the request terminal, the operation execution period is postponed.

[0029] Specifically, in the embodiments of the present invention, by analyzing the operation request logs in the terminal, the types corresponding to the operation requests and the corresponding standard processing durations are determined, so as to effectively construct the first instruction information of the request terminal, determine the accurate replacement or repair time node, and ensure the continuous operation of the terminal devices in the organization.

[0030] Specifically, when postponing the operation execution period, a first duration T1, a second duration T2, and a third duration T3 are preset; If the operation requests are concentrated within the preset time period in the request terminal, and the number of operation requests in the timeout operation set exceeding the standard processing duration / the total number of all operation requests in the operation request set ≤ 20%, the operation execution period is extended by the first duration T1; If 20% < the number of operation requests in the timeout operation set exceeding the standard processing duration / the total number of all operation requests in the operation request set ≤ 80%, the operation execution period is extended by the second duration T2; If the number of operation requests in the timeout operation set exceeding the standard processing duration / the total number of all operation requests in the operation request set > 80%, the operation execution period is extended by the third duration T3.

[0031] Specifically, in the embodiment of the present invention, the range of the ratio of the number of operation requests in the timeout operation set exceeding the standard processing duration to the total number of operation requests in the operation request set is determined, and the extension length of the operation execution period is determined according to the ratio range of the two, so that the processing capacity of the terminal with more operation timeouts decreases. Therefore, when determining the operation execution period, the terminal needs to be replaced or repaired as soon as possible. In practical applications, the more accurate the determination of the node of the operation execution period, the replacement or repair at the corresponding time node can ensure that the data in the terminal meets the requirements. However, once the repair time node is not timely, the data obtained in the terminal may have problems, reducing the event processing efficiency in the terminal, thereby affecting the effective determination of the operation execution period node. The embodiment of the present invention greatly improves the effective determination of the operation execution period, improving the determination efficiency and accuracy.

[0032] Specifically, when correcting the request type and the operation execution period in the first request instruction information, extract the network status within a preset time period. If the network status is good, there is no need to correct the request type and the operation execution period; if the network status is poor, the request type and the operation execution period need to be corrected; Select any two functional modules, and obtain the actual data transmission volume of the two functional modules within a preset time period. If the actual data transmission volume ≥ the standard data transmission volume, keep the request type unchanged, and reduce the operation execution period to 1 / 2 of the original operation execution period; if the actual data transmission volume < the standard data transmission volume, change the request type from replacement to repair, and maintain the operation execution period as the original operation execution period.

[0033] Specifically, in the embodiment of the present invention, the transmission situation of the network status is determined by comparing the data transmission volume with the standard data transmission volume, and the operation execution period is corrected according to the network status, making the determination of the operation execution period more accurate. Abandoning the fact that in practical applications, the information processing speed of the terminal is affected not only by the quality of the device hardware but also by the network status, effectively evaluating the information processing efficiency of the terminal and improving the determination accuracy of the operation execution period.

[0034] Specifically, the request to be reviewed is a repair request or a replacement request. The repair request includes the repair time, and the replacement request includes the replacement time.

[0035] Specifically, in the embodiments of the present invention, by limiting the request to be reviewed, it can be a repair request or a replacement request. In practical applications, after the device has been used for a certain period of time, it can be repaired to improve the operating efficiency of the terminal, or the replacement method can be selected to ensure the good operation of the terminal. In practical applications, the terminal can also be replaced by starting a standby device. If it is a repair request in the embodiments of the present invention, the corresponding repair time is determined according to the operating state of the terminal. If it is a replacement request, the corresponding replacement time is determined according to the operating state of the terminal. In the request to be reviewed, in addition to determining the request type, the request time also needs to be determined, which is convenient for performing corresponding operations at the corresponding time after the review is passed, thereby improving the processing efficiency.

[0036] Specifically, it further includes, based on the corrected request type and the operation execution period, determining the corresponding operation time of the request terminal corresponding to the terminal request ID during the operation execution period, and performing an operation that conforms to the request type on the request terminal, so as to implement the repair review or replacement review of the request terminal.

[0037] Specifically, after the request type and the operation execution period are determined in the embodiments of the present invention, corresponding operations are performed on the corresponding request terminal at the corresponding time node, that is, replacement or repair is carried out, so that the operation within the organization is normal, the continuous processing of the internal information of the organization is realized, and the circulation and efficiency of the internal information of the organization are improved.

[0038] Specifically, as Figure 2 shown, the embodiments of the present invention further provide an auditing device for a big data intelligent auditing system. The auditing device includes: A receiving module 10 for receiving a request to be audited, where the request to be audited includes a request terminal ID and pre-constructed first request instruction information, and the first request instruction information includes a request type and an operation execution period corresponding to the request type; An extraction module 20 for determining the corresponding request terminal according to the terminal request ID, and extracting the operation request processing log of the request terminal within a preset time period to judge the operating state of the request terminal and obtain a judgment result; A correction module 30 for correcting the request type and the operation execution period in the first request instruction information according to the judgment result.

[0039] Specifically, as Figure 3 shown, the extraction module 20 includes: a classification unit 21, a determination unit 22, and a judgment unit 23; The classification unit is used to classify the operation requests according to the request type, determine the start and end times of any operation request within the preset time period, and further determine the actual processing duration of each operation request; A determination unit for determining the standard processing duration corresponding to each operation request according to the category to which the request type belongs; If, within a preset time, the determination unit determines that the actual processing duration of any operation request is greater than the standard processing duration, it indicates that the operating state of the request terminal is poor and the request terminal needs to be repaired or replaced immediately; If the actual processing duration of any operation request is ≤ the standard processing duration, it indicates that the operating state of the request terminal is excellent. Then, when constructing the first request instruction information of the request terminal, the operation execution period is postponed.

[0040] Specifically, when the correction module postpones the operation execution period, a first duration T1, a second duration T2, and a third duration T3 are preset; If, within a preset time period within the request terminal, the operation requests are concentrated, and if the number of operation requests in the timeout operation set exceeding the standard processing duration / the total number of all operation requests in the operation request set ≤ 20%, the operation execution period is extended by the first duration T1; If 20% < the number of operation requests in the timeout operation set exceeding the standard processing duration / the total number of all operation requests in the operation request set ≤ 80%, the operation execution period is extended by the second duration T2; If the number of operation requests in the timeout operation set exceeding the standard processing duration / the total number of all operation requests in the operation request set > 80%, the operation execution period is extended by the third duration T3.

[0041] Specifically, when the correction module corrects the request type and the operation execution period in the first request instruction information, Extract the network status within a preset time period. If the network status is good, there is no need to correct the request type and the operation execution period; If the network status is poor, the request type and the operation execution period need to be corrected; Select any two functional modules, obtain the actual data transmission volume of the two functional modules within a preset time period. If the actual data transmission volume ≥ the standard data transmission volume, the request type remains unchanged and the operation execution period is reduced to 1 / 2 of the original operation execution period; If the actual data transmission volume < the standard data transmission volume, the request type is changed from replacement to repair, and the operation execution period remains the original operation execution period.

[0042] The auditing device of the big data intelligent auditing system in the embodiments of the present invention applies the above auditing method and can achieve the same technical effects, which will not be elaborated here.

[0043] So far, the technical solution of the present invention has been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, those skilled in the art can easily understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0044] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A review method for a big data intelligent review system, characterized in that, Including: Receiving a request to be audited, where the request to be audited includes a request terminal ID and pre-constructed first request instruction information, and the first request instruction information includes a request type and an operation execution period corresponding to the request type; Determining a corresponding request terminal according to the terminal request ID, and retrieving an operation request processing log of the request terminal within a preset time period to judge the running state of the request terminal and obtain a judgment result; Amending the request type and the operation execution period in the first request instruction information according to the judgment result.

2. The auditing method of the big data intelligent auditing system according to claim 1, wherein Retrieving an operation request processing log of the request terminal within a preset time period to judge the running state of the request terminal, and obtaining a judgment result includes: Classifying operation requests according to the request type, determining the start and end times of any operation request within a preset time period, and further determining the actual processing duration of each operation request; Determining a standard processing duration corresponding to each operation request according to the category to which the request type belongs; If, within a preset time, the actual processing duration of any operation request is greater than the standard processing duration, it indicates that the running state of the request terminal is poor and the request terminal needs to be repaired or replaced immediately; If the actual processing duration of any operation request is ≤ the standard processing duration, it indicates that the running state of the request terminal is excellent, and when constructing the first request instruction information of the request terminal, the operation execution period is postponed.

3. The auditing method of the big data intelligent auditing system according to claim 2, wherein When postponing the operation execution period, a first duration T1, a second duration T2, and a third duration T3 are preset; If operation requests are concentrated within a preset time period in the request terminal, and the number of operation requests in the overtime operation set exceeding the standard processing duration / the total number of all operation requests in the operation request set ≤ 20%, the operation execution period is extended by the first duration T1; If 20% < the number of operation requests in the overtime operation set exceeding the standard processing duration / the total number of all operation requests in the operation request set ≤ 80%, the operation execution period is extended by the second duration T2; If the number of operation requests in the overtime operation set exceeding the standard processing duration / the total number of all operation requests in the operation request set > 80%, the operation execution period is extended by the third duration T3.

4. The auditing method of the big data intelligent auditing system according to claim 3, wherein When amending the request type and the operation execution period in the first request instruction information, the network state within a preset time period is extracted. If the network state is good, there is no need to amend the request type and the operation execution period; If the network state is poor, the request type and the operation execution period need to be amended; Select any two functional modules, obtain the actual data transmission volume of the two functional modules within a preset time period. If the actual data transmission volume ≥ the standard data transmission volume, the request type remains unchanged, and the operation execution period is reduced to 1 / 2 of the original operation execution period; If the actual data transmission volume < the standard data transmission volume, the request type is changed from replacement to repair, and the operation execution period remains the original operation execution period.

5. The auditing method of the big data intelligent auditing system according to claim 4, characterized in that The request to be audited is a repair request or a replacement request. The repair request includes the repair time, and the replacement request includes the replacement time.

6. The auditing method of the big data intelligent auditing system according to claim 5, characterized in that, It further includes, based on the corrected request type and operation execution period, determining the operation time corresponding to the request terminal at the operation execution period corresponding to the request terminal ID for the operation corresponding to the request type, so as to implement the repair audit or replacement audit of the request terminal.

7. An auditing device of a big data intelligent auditing system applying the auditing method of the big data intelligent auditing system according to any one of claims 1-6, characterized in that, It includes: A receiving module for receiving the request to be audited. The request to be audited includes the request terminal ID and the pre-constructed first request instruction information. The first request instruction information includes the request type and the operation execution period corresponding to the request type. An extraction module for determining the corresponding request terminal according to the terminal request ID and extracting the operation request processing log of the request terminal within a preset time period to judge the running state of the request terminal and obtain the judgment result. A correction module for correcting the request type and the operation execution period in the first request instruction information according to the judgment result.

8. The auditing device of the intelligent auditing system for hospital financial accounting according to claim 7, wherein The extraction module includes: a classification unit, a determination unit, and a judgment unit; The classification unit is used to classify the operation requests according to the request type, determine the start and end times of any operation request within the preset time period, and then determine the actual processing duration of each operation request. The determination unit is used to determine the standard processing duration corresponding to each operation request according to the category to which the request type belongs. If within the preset time, the judgment unit determines that the actual processing duration of any operation request is greater than the standard processing duration, it means that the running state of the request terminal is poor and the request terminal needs to be repaired or replaced immediately. If the actual processing duration of any operation request is ≤ the standard processing duration, it means that the running state of the request terminal is excellent, and when constructing the first request instruction information of the request terminal, the operation execution period is postponed.

9. The auditing device of the big data intelligent auditing system according to claim 8, wherein When the correction module postpones the operation execution period, the first duration T1, the second duration T2, and the third duration T3 are preset; If within the preset time period in the request terminal, the operation requests are concentrated, and if the number of operation requests in the overtime operation set exceeding the standard processing duration / the total number of all operation requests in the operation request set ≤ 20%, the operation execution period is extended by the first duration T1; If 20% < the number of operation requests in the overtime operation set exceeding the standard processing duration / the total number of all operation requests in the operation request set ≤ 80%, the operation execution period is extended by the second duration T2; If the number of operation requests in the overtime operation set exceeding the standard processing duration / the total number of all operation requests in the operation request set > 80%, the operation execution period is extended by the third duration T3.

10. The auditing device of the big data intelligent auditing system according to claim 9, characterized in that when the correction module corrects the request type and the operation execution period in the first request instruction information, it extracts the network status within a preset time period. If the network status is good, there is no need to correct the request type and the operation execution period; if the network status is poor, the request type and the operation execution period need to be corrected; select any two functional modules, obtain the actual data transmission volume of the two functional modules within a preset time period. If the actual data transmission volume ≥ the standard data transmission volume, the request type remains unchanged, and the operation execution period is reduced to 1 / 2 of the original operation execution period; if the actual data transmission volume < the standard data transmission volume, the request type is changed from replacement to repair, and the operation execution period remains the original operation execution period.

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