Business process quality inspection method and device, storage medium and computer equipment

Abstract

The invention discloses a business process quality inspection method and device, a storage medium and computer equipment. Relates to the field of data processing technology and finance. The method is mainly used for solving the problem of low business process quality inspection efficiency in the prior art. The method mainly comprises the following steps: acquiring business processes which are handled within a preset duration and have different transaction modes, and determining at least one execution object of the business processes as a quality inspection object; calling sampling inspection parameters of different transaction modes and personal reward and punishment coefficients of the quality inspection object in different transaction modes; according to sampling inspection parameters and the personal reward and punishment coefficients, calculating the quantity of quality inspection processes of the quality inspection object in different transaction modes; randomly extracting the business process of the quality inspection object in the corresponding transaction mode as a target quality inspection business process according to the quantity of the quality inspection processes; and issuing the target quality inspection business process to a quality inspection node, and receiving a quality inspection result of the quality inspection node. The method is mainly used for reducing the labor cost of business process quality inspection and improving the quality inspection efficiency.

Description

Technical Field

[0001] The present invention relates to data processing technology and financial fields, and in particular to a business process quality inspection method and device, a storage medium, and a computer device. Background Art

[0002] In financial business, the quality of business process handling is directly related to the safety of payment delivery. A small mistake in the business process will cause serious consequences. For example, the handover payment process and qualification review process in the small and micro financial leasing process are the most core and critical operation processes in the entire pre-lease process. Once there is a mistake, it may cause the financial security of the leasing business. However, since the current business processes are all performed by business personnel for related reviews and operations, deviations and mistakes are inevitable. Therefore, in order to ensure the operational quality of the business process, it is necessary to conduct quality inspections on the business process.

[0003] The existing business process quality inspection method mainly conducts full inspection of the business processes completed the previous day according to a fixed sampling ratio. In order to ensure the coverage of the sampling inspection, it is usually necessary to configure a higher sampling ratio, resulting in a very large number of sampling inspections, requiring more manpower for quality inspection, resulting in high labor costs and low quality inspection efficiency. Summary of the invention

[0004] In view of this, the present invention provides a business process quality inspection method and device, storage medium, and computer equipment, the main purpose of which is to solve the problem of high labor cost and low efficiency of existing business process quality inspection.

[0005] According to one aspect of the present invention, a business process quality inspection method is provided, comprising:

[0006] Acquire business processes of different transaction modes that are completed within a preset time period, and determine at least one execution object of the business process as a quality inspection object;

[0007] Retrieving sampling parameters of different transaction modes, as well as individual reward and punishment coefficients of the quality inspection object under different transaction modes;

[0008] Calculate the number of quality inspection processes of the quality inspection object under different transaction modes based on the sampling inspection parameters and the individual reward and punishment coefficients;

[0009] Randomly select the business process of the quality inspection object under the corresponding transaction mode according to the number of quality inspection processes as the target quality inspection business process;

[0010] The target quality inspection business process is issued to the quality inspection node, and the quality inspection result of the quality inspection node is received.

[0011] Furthermore, the sampling inspection parameters include transaction mode weights and initial sampling inspection ratios, and the number of quality inspection processes of the quality inspection object under different transaction modes is calculated based on the sampling inspection parameters and the individual reward and punishment coefficients, including:

[0012] Retrieving the transaction mode weights of different transaction modes, and the total periodic quality inspection amount and the quality inspection amount of the quality inspection object within a preset period;

[0013] For each transaction mode, the initial sampling ratio is modified and calculated according to the transaction mode weight and the individual reward and punishment coefficient to obtain the expected number of quality inspection processes under different transaction modes;

[0014] If the sum of the quality inspection quantity within the period and the expected quality inspection process quantity is less than or equal to the total quality inspection quantity of the period, the expected quality inspection process quantity is determined as the quality inspection process quantity;

[0015] When the sum of the quality-inspected quantity within the period and the expected number of quality inspection processes is greater than the total quality inspection quantity of the period, the difference between the total quality inspection quantity of the period and the quality-inspected quantity within the period is determined as the number of quality inspection processes.

[0016] Furthermore, before retrieving sampling parameters of different transaction modes and individual reward and punishment coefficients of the quality inspection object under different transaction modes, the method further includes:

[0017] Obtain the overall quality inspection defect rate of all quality inspection objects in the first historical time period under different business transaction modes, as well as the individual quality inspection defect data of different quality inspection objects;

[0018] Identify the sampling ratio that matches the defect rate probability interval where the overall quality inspection defect rate is located from the sampling ratio mapping relationship set as the initial sampling ratio, wherein the sampling ratio mapping relationship set includes a mapping relationship between a plurality of defect rate probability intervals determined according to the key performance indicators of the business process and the corresponding sampling ratios;

[0019] According to the defect types in the personal quality inspection defect data and the number of defects under different defect types, the personal reward and punishment coefficients of the quality inspection object under different transaction modes are determined.

[0020] Furthermore, the defect types include security defects and non-security defects. The determination of the personal reward and punishment coefficients of the quality inspection object under different transaction modes based on the defect types in the personal quality inspection defect data and the number of defects under different defect types includes:

[0021] In the case where the personal quality inspection defect data only includes non-safety defects, if the number of non-safety defects is less than a second threshold, the personal reward and punishment coefficient is configured as a reward coefficient; if the number of non-safety defects is greater than or equal to the second threshold, the reward and punishment coefficient is configured as 1;

[0022] When the number of the security flaws is greater than or equal to a first threshold, configuring the individual reward and punishment coefficient to be a first penalty coefficient;

[0023] In the case where the number of the security flaws is less than the first threshold, if the number of the non-security flaws is greater than the second threshold, the personal reward and punishment coefficient is configured as the first penalty coefficient; if the number of the non-security flaws is less than or equal to the second threshold, the personal reward and punishment coefficient is configured as the second penalty coefficient;

[0024] Among them, the first penalty coefficient is greater than the second penalty coefficient, the second penalty coefficient is greater than 1, and the reward coefficient is less than 1.

[0025] Furthermore, randomly selecting the business process of the quality inspection object in the corresponding transaction mode as the target quality inspection business process according to the number of quality inspection processes includes:

[0026] Randomly select the business process of the quality inspection object under the corresponding transaction mode as the candidate business process for random inspection;

[0027] In the case where the execution object of the candidate sampling inspection business process is unique, determining the candidate sampling inspection business process as the target quality inspection business process;

[0028] In the case where the execution object of the candidate random inspection business process is not unique, the random inspection status of the associated execution object of the candidate random inspection business process is obtained; if the random inspection status of any of the associated execution objects is inspected, the number of quality inspection processes of the quality inspection object is reduced by 1, and the candidate random inspection business process is eliminated; if the random inspection status of any of the associated execution objects is not inspected, the candidate random inspection business process is determined as the target quality inspection business process;

[0029] When the number of the target quality inspection business processes is less than the number of quality inspection processes, return to the step of randomly selecting the business processes of the quality inspection object under the corresponding transaction mode as candidate sampling business processes until the number of the target quality inspection business processes is equal to the number of quality inspection processes.

[0030] Furthermore, after receiving the quality inspection result of the quality inspection node, the method further includes:

[0031] If, in any transaction mode, the number of security defects in the quality inspection result is greater than a third threshold, then the personal reward and punishment coefficient in the corresponding transaction mode is updated according to the difference between the number of security defects and the third threshold;

[0032] According to the sampling inspection parameters and the updated individual reward and punishment coefficient, the expected number of quality inspection processes of the quality inspection object under the transaction mode is calculated;

[0033] The number of quality inspection processes is determined according to the difference between the expected number of quality inspection processes and the number of quality inspection processes of the quality inspection object, and the step of randomly selecting the business process of the quality inspection object under the corresponding transaction mode according to the number of quality inspection processes as the target quality inspection business process is returned.

[0034] Furthermore, after receiving the quality inspection result of the quality inspection node, the method further includes:

[0035] At a preset time point, obtain the number of sampling inspection processes for all quality inspection objects in the second historical time period;

[0036] If the number of sampling processes is less than the sampling number threshold, the compensatory quality inspection quantity is determined based on the difference between the sampling number threshold and the number of samplings of the quality inspection object, and the compensatory quality inspection is performed based on the compensatory quality inspection quantity.

[0037] According to another aspect of the present invention, a business process quality inspection device is provided, comprising:

[0038] A determination module, used to obtain business processes of different transaction modes that are completed within a preset time period, and determine at least one execution object of the business process as a quality inspection object;

[0039] A calling module, used to call sampling parameters of different transaction modes, and individual reward and punishment coefficients of the quality inspection object under different transaction modes;

[0040] A calculation module, used to calculate the number of quality inspection processes of the quality inspection object under different transaction modes according to the sampling inspection parameters and the individual reward and punishment coefficient;

[0041] An extraction module, used for randomly extracting the business process of the quality inspection object under the corresponding transaction mode as the target quality inspection business process according to the number of quality inspection processes;

[0042] The issuing module is used to issue the target quality inspection business process to the quality inspection node and receive the quality inspection result of the quality inspection node.

[0043] Furthermore, the calculation module includes:

[0044] A retrieving unit, used to retrieve the transaction mode weights of different transaction modes, and the total periodic quality inspection amount and the quality inspection amount of the quality inspection object within a preset period;

[0045] A calculation unit, for performing a correction calculation on the initial sampling ratio for each transaction mode according to the transaction mode weight and the individual reward and punishment coefficient, to obtain the expected number of quality inspection processes under different transaction modes;

[0046] A first determining unit is used to determine the expected number of quality inspection processes as the number of quality inspection processes when the sum of the quality inspection quantity within the period and the expected number of quality inspection processes is less than or equal to the total quality inspection quantity of the period;

[0047] The second determination unit is used to determine the difference between the total quality inspection amount of the period and the quality inspection amount in the period as the number of quality inspection processes when the sum of the quality inspection amount in the period and the expected quality inspection process number is greater than the total quality inspection amount of the period.

[0048] Furthermore, the device also includes:

[0049] The first acquisition module is used to obtain the overall quality inspection defect rate of all quality inspection objects in the first historical time period under different business transaction modes, as well as the personal quality inspection defect data of different quality inspection objects;

[0050] An identification module is used to identify, from a sampling ratio mapping relationship set, a sampling ratio that matches the defect rate probability interval in which the overall quality inspection defect rate is located as an initial sampling ratio, wherein the sampling ratio mapping relationship set includes a mapping relationship between a plurality of defect rate probability intervals determined according to key performance indicators of a business process and the corresponding sampling ratios;

[0051] The determination module is further used to determine the personal reward and punishment coefficient of the quality inspection object under different transaction modes according to the defect type in the personal quality inspection defect data and the number of defects under different defect types.

[0052] Furthermore, the determination module includes:

[0053] A first configuration unit is configured to configure the personal reward and punishment coefficient as a reward coefficient if the number of non-security defects is less than a second threshold value when the personal quality inspection defect data only includes non-security defects; and to configure the reward and punishment coefficient as 1 if the number of non-security defects is greater than or equal to the second threshold value;

[0054] A second configuration unit, configured to configure the individual reward and punishment coefficient to a first penalty coefficient when the number of the security flaws is greater than or equal to a first threshold;

[0055] A third configuration unit is configured to configure the personal reward and punishment coefficient as the first penalty coefficient if the number of non-security defects is greater than the second threshold when the number of security defects is less than the first threshold; and configure the personal reward and punishment coefficient as the second penalty coefficient if the number of non-security defects is less than or equal to the second threshold;

[0056] Among them, the first penalty coefficient is greater than the second penalty coefficient, the second penalty coefficient is greater than 1, and the reward coefficient is less than 1.

[0057] Furthermore, the extraction module comprises:

[0058] An extraction unit, used for randomly extracting a business process of the quality inspection object under a corresponding transaction mode as a candidate sampling inspection business process;

[0059] A third determination unit is used to determine the candidate sampling inspection business process as the target quality inspection business process when the execution object of the candidate sampling inspection business process is unique;

[0060] The fourth determination unit is used to obtain the sampling status of the associated execution object of the candidate sampling business process when the execution object of the candidate sampling business process is not unique; if the sampling status of any of the associated execution objects is sampled, the number of quality inspection processes of the quality inspection object is reduced by 1, and the candidate sampling business process is eliminated; if the sampling status of any of the associated execution objects is not sampled, the candidate sampling business process is determined as the target quality inspection business process;

[0061] A loop judgment unit is used to return to the step of randomly selecting the business process of the quality inspection object under the corresponding transaction mode as a candidate sampling business process when the number of the target quality inspection business process is less than the number of quality inspection processes, until the number of the target quality inspection business process is equal to the number of quality inspection processes.

[0062] Furthermore, the device also includes:

[0063] An updating module, configured to update the personal reward and punishment coefficient in the corresponding transaction mode according to the difference between the number of security defects and the third threshold value if the number of security defects in the quality inspection result is greater than a third threshold value in any transaction mode;

[0064] The calculation module is further used to calculate the expected number of quality inspection processes of the quality inspection object under the transaction mode according to the sampling inspection parameters and the updated personal reward and punishment coefficient;

[0065] The determination module is also used to determine the number of quality inspection processes based on the difference between the expected number of quality inspection processes and the number of quality inspection processes of the quality inspection object that have been quality inspected, and return the step of randomly selecting the business process of the quality inspection object under the corresponding transaction mode according to the number of quality inspection processes as the target quality inspection business process.

[0066] Furthermore, the device also includes:

[0067] An acquisition module is used to obtain the number of sampling inspection processes of all quality inspection objects in the second historical time period at a preset time point;

[0068] The compensatory quality inspection module determines the compensatory quality inspection quantity according to the difference between the sampling quantity threshold and the number of samples inspected of the quality inspection object if the sampling process quantity is less than the sampling quantity threshold, and performs compensatory quality inspection according to the compensatory quality inspection quantity.

[0069] According to another aspect of the present invention, a storage medium is provided, wherein at least one executable instruction is stored in the storage medium, and the executable instruction enables a processor to execute operations corresponding to the above-mentioned business process quality inspection method.

[0070] According to another aspect of the present invention, there is provided a computer device, comprising: a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus;

[0071] The memory is used to store at least one executable instruction, and the executable instruction enables the processor to execute operations corresponding to the above-mentioned business process quality inspection method.

[0072] By means of the above technical solution, the technical solution provided by the embodiment of the present invention has at least the following advantages:

[0073] The present invention provides a business process quality inspection method and device, storage medium, and computer equipment. First, business processes of different transaction modes that are completed within a preset time period are obtained, and at least one execution object of the business process is determined as a quality inspection object; sampling parameters of different transaction modes and personal reward and punishment coefficients of the quality inspection objects under different transaction modes are retrieved; the number of quality inspection processes of the quality inspection objects under different transaction modes is calculated based on the sampling parameters and the personal reward and punishment coefficients; the business processes of the quality inspection objects under the corresponding transaction modes are randomly selected as target quality inspection business processes according to the number of quality inspection processes; the target quality inspection business processes are issued to quality inspection nodes, and the quality inspection results of the quality inspection nodes are received. Compared with the prior art, the embodiment of the present invention calculates the number of quality inspection processes of the quality inspection object under different transaction modes through the sampling parameters of different transaction modes and the personal reward and punishment coefficients of the quality inspection object under different transaction modes, so that the determination of the number of quality inspection processes is more flexible and targeted, avoiding the problem that the requirements of quality inspection quantity and quality inspection effectiveness cannot be met simultaneously due to sampling based on fixed values, greatly reducing the number of quality inspections of business processes, and at the same time, ensuring the effectiveness of quality inspection, thereby effectively reducing the manpower cost of quality inspection and improving the efficiency of business process quality inspection.

[0074] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0076] Figure 1 A flow chart of a business process quality inspection method provided by an embodiment of the present invention is shown;

[0077] Figure 2 Another flow chart of a business process quality inspection method provided by an embodiment of the present invention is shown;

[0078] Figure 3 A block diagram of a business process quality inspection device provided by an embodiment of the present invention is shown;

[0079] Figure 4 A schematic structural diagram of a computer device provided by an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0080] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0081] The embodiment of the present invention provides a business process quality inspection method, such as Figure 1 As shown, the method includes:

[0082] 101. Obtain business processes of different transaction modes that are completed within a preset time period, and determine at least one execution object of the business process as a quality inspection object.

[0083] In the embodiment of the present invention, the business process is an operation process in the financial business that is handled by business personnel. In order to monitor and evaluate the work quality of business personnel, it is necessary to regularly obtain the business processes that are completed within the preset time to pass the quality inspection of the accuracy of the business process operation. Among them, the preset time can be 1 natural day, one week, or it can be customized according to the number of completed business processes, and the embodiment of the present invention does not make specific restrictions. The business process can specifically be the handover payment process, qualification review process, and risk assessment process in the small and micro financial leasing process, or it can be other business processes that need to be based on the process operation of the relevant operators for quality inspection. Business processes can be divided into business processes under different transaction modes according to different transaction objects or contents. For example, different products correspond to their own transaction modes, and the same product can also correspond to their own transaction modes according to different transaction objects (foreign trade, domestic trade). The difference in transaction modes is related to the control standards and importance of the corresponding business processes. The execution object is the business personnel or operators who handle the business process. A business process can be completed by one operator or by two or more operators in collaboration, and the embodiment of the present invention does not make specific restrictions.

[0084] 102. Retrieve sampling parameters for different transaction modes, as well as individual reward and punishment coefficients for the quality inspection subjects under different transaction modes.

[0085] In an embodiment of the present invention, the quality inspection results of all business processes and quality inspection objects will be stored in a special database for storage, and the quality inspection data in the database will be statistically analyzed according to different transaction modes and different quality inspection objects, so as to reflect the overall quality inspection status of the business process under each transaction mode, and the operation quality of the business personnel under each transaction mode. Among them, the statistical and analysis results include the sampling parameters of different transaction modes and the personal reward and punishment coefficients under different transaction modes. In order to determine the number of processes (number of quality inspection processes) that need to be extracted for the quality inspection object, the sampling parameters of different transaction modes and the personal reward and punishment coefficients of the quality inspection object under different transaction modes are retrieved from the database.

[0086] 103. Calculate the number of quality inspection processes of the quality inspection object under different transaction modes based on the sampling inspection parameters and the individual reward and punishment coefficients.

[0087] In the embodiment of the present invention, the sampling parameter is the basic sampling quantity determined according to the overall quality inspection situation of the business process under the corresponding transaction mode. For example, if the defect ratio of quality inspection under a certain transaction mode is large, the corresponding sampling quantity needs to be configured to be larger; if the defect ratio of quality inspection is small, the corresponding sampling quantity can be configured to be smaller. Among them, the defect ratio of quality inspection can be obtained by counting the number of defects and the total quality inspection amount in the historical quality inspection data of different transaction modes. The personal reward and punishment coefficient is the correction coefficient of the personal sampling quantity corresponding to each quality inspection object, which can be determined according to the quality inspection result of the individual under the corresponding transaction mode. For example, if the quality inspection object has no defects in the quality inspection this month, the reward and punishment coefficient can be 0.5; if the defect rate of the quality inspection object this month is 5%, the reward and punishment coefficient can be 2. A basic sampling quantity is determined by the overall quality inspection situation under different transaction modes, and then the basic sampling quantity is adjusted based on the personal quality inspection results of the business personnel, so that the final quality inspection process quantity not only meets the overall process completion quality situation under the transaction mode, but also meets the individual process completion quality situation of the business personnel, thereby realizing the accurate calculation of the quality inspection process quantity.

[0088] 104. Randomly select the business process of the quality inspection object under the corresponding transaction mode according to the number of quality inspection processes as the target quality inspection business process.

[0089] 105. Issue the target quality inspection business process to a quality inspection node, and receive the quality inspection result of the quality inspection node.

[0090] In the embodiment of the present invention, for any quality inspection object, after determining the number of different quality inspection processes, it is necessary to extract the target quality inspection business process that meets the number of quality inspection processes under the corresponding transaction mode from the business processes of different transaction modes that are completed within a preset time, so as to issue the target quality inspection business process to the corresponding quality inspection node for quality inspection. Among them, the quality inspection nodes can be divided according to the transaction mode and the corresponding quality inspection objects, that is, the issuance of the target quality inspection business process can be issued to the corresponding quality inspection nodes according to the different transaction modes, or the business process of the quality inspection object can be issued to the corresponding quality inspection node according to the corresponding relationship between the quality inspection object and the quality inspection node. It is also possible not to divide the quality inspection nodes, but to issue them according to the quality inspection task volume of the quality inspection nodes. The embodiment of the present invention does not specifically limit the method for determining the relationship between the target quality inspection business process and the corresponding issuance quality inspection node.

[0091] It should be noted that the number of quality inspection processes is determined based on the overall quality inspection situation under different transaction modes and the quality inspection results of individual business personnel, and the overall quality inspection situation under different transaction modes and the quality inspection results of individual business personnel are dynamically adjusted with the quality inspection situation. If the business process is a new process, the error rate of handling is high, and the quality inspection defect rate is high, then the corresponding number of quality inspection processes will also be large. As the proficiency of business process handling gradually increases and the quality inspection defect rate decreases, the number of quality inspection processes will also decrease. Therefore, the number of quality inspection processes is a quantity that is dynamically adjusted to adapt to the error rate of business process handling and the quality inspection situation. It can not only ensure the effect of quality inspection, but also greatly reduce the extraction of quality inspection business processes and reduce the workload of quality inspection, thereby reducing the labor cost of quality inspection and improving the efficiency of business process quality inspection.

[0092] In an embodiment of the present invention, for further explanation and limitation, as Figure 2 As shown, the step of calculating the number of quality inspection processes of the quality inspection object under different transaction modes based on the sampling inspection parameters and the personal reward and punishment coefficient includes:

[0093] 201. Retrieve the transaction mode weights of different transaction modes, and the total periodic quality inspection amount and the quality inspection amount of the quality inspection object within a preset period.

[0094] 202. For each transaction model, the initial sampling ratio is corrected and calculated based on the transaction model weight and the individual reward and punishment coefficient to obtain the expected number of quality inspection processes under different transaction models.

[0095] 203. When the sum of the quality inspection quantity within the period and the expected quality inspection process quantity is less than or equal to the total quality inspection quantity of the period, the expected quality inspection process quantity is determined as the quality inspection process quantity.

[0096] 204. When the sum of the quality-inspected quantity within the period and the expected quality-inspection process quantity is greater than the total quality-inspection quantity of the period, the difference between the total quality-inspection quantity of the period and the quality-inspected quantity within the period is determined as the quality-inspection process quantity.

[0097] In an embodiment of the present invention, the sampling parameters include a transaction model weight and an initial sampling ratio. The expected number of quality inspection processes can be calculated as the product of the transaction model weight, the initial sampling ratio and the individual reward and punishment coefficient. Different transaction models correspond to their own transaction model weights. For example, the process handling tolerance rate of the foreign trade transaction model is lower than that of the domestic trade transaction model, so the transaction model weight of the foreign trade transaction model is greater than the transaction model weight of the domestic trade transaction model. The preset period includes multiple preset time lengths. For example, the preset period is one month, and the preset time length is 1 natural day. The total period quality inspection amount is also configured for the total number of quality inspection processes extracted within the preset period. The expected number of quality inspection processes is an estimated value of the number of business processes extracted within the preset time length, and the sum of the number of quality inspection processes within all preset time lengths within the preset period must also meet the total period quality inspection amount. Therefore, when the expected number of quality inspection processes and the total number of quality inspections completed within a cycle (the sum of the number of quality inspection processes of a preset historical duration within a preset cycle) is less than or equal to the total number of quality inspections completed during the cycle, business processes can be extracted directly based on the expected number of quality inspection processes; however, when the expected number of quality inspection processes and the total number of quality inspections completed during the cycle are greater than the total number of quality inspections completed during the cycle, it is necessary to adjust the expected number of quality inspection processes, i.e., determine the difference between the total number of quality inspections completed during the cycle and the number of quality inspections completed during the cycle as the number of quality inspection processes.

[0098] It should be noted that the total amount of periodic quality inspection is not a fixed value of the preset configuration, but a variable value that is dynamically adjusted according to the actual quality inspection situation. For example, it is configured based on the quality inspection situation of the previous preset period, or dynamically adjusted based on the quality inspection results of the sampled business process in this period. The initial sampling ratio is corrected through the transaction model weight, and the number of quality inspection processes is adjusted according to the fault tolerance and importance of the transaction model, so that the number of quality inspection processes meets the targeted quality inspection needs of different transaction models on the basis of meeting the quality inspection situation.

[0099] In one embodiment of the present invention, for further explanation and limitation, before the step of calling the sampling parameters of different transaction modes and the personal reward and punishment coefficients of the quality inspection object under different transaction modes, the method further includes:

[0100] Obtain the overall quality inspection defect rate of all quality inspection objects in the first historical time period under different business transaction modes, as well as the individual quality inspection defect data of different quality inspection objects;

[0101] Identify the sampling ratio that matches the defect rate probability interval of the overall quality inspection defect rate from the sampling ratio mapping relationship set as the initial sampling ratio;

[0102] According to the defect types in the personal quality inspection defect data and the number of defects under different defect types, the personal reward and punishment coefficients of the quality inspection object under different transaction modes are determined.

[0103] In an embodiment of the present invention, the overall quality inspection defect rate of all quality inspection objects in the first historical time period can also be understood as the defect rate of the comprehensive target quality inspection business process of quality inspection in the first historical time period. The overall quality inspection defect rate is compared with the defect probability interval in the sampling ratio mapping relationship set. The overall quality inspection defect rate falls within which defect probability interval, and the sampling ratio corresponding to this defect probability interval is used as the initial sampling ratio. Among them, the sampling ratio mapping relationship set includes a mapping relationship between a plurality of defect rate probability intervals determined according to the key performance indicators of the business process and the corresponding sampling ratios. In other words, the defect rate probability interval is a probability distribution interval determined by the key performance indicators of the business process. The correspondence between the defect rate probability interval and the corresponding sampling ratio can be as shown in Table 1, or it can be customized according to actual application requirements, and the embodiment of the present invention does not make specific limitations.

[0104] Table 1:

[0105]

[0106] It should be noted that by constructing the defect rate probability interval according to the key performance indicators of the business process and associating the sampling ratio with the key performance indicators of the business process, the sampling ratio can adapt to the changes in the key performance indicators of the business process, thereby making the sampling ratio more business-specific.

[0107] In one embodiment of the present invention, for further explanation and limitation, the step of determining the personal reward and punishment coefficient of the quality inspection object under different transaction modes according to the defect type in the personal quality inspection defect data and the number of defects under different defect types includes:

[0108] In the case where the personal quality inspection defect data only includes non-safety defects, if the number of non-safety defects is less than a second threshold, the personal reward and punishment coefficient is configured as a reward coefficient; if the number of non-safety defects is greater than or equal to the second threshold, the reward and punishment coefficient is configured as 1;

[0109] When the number of the security flaws is greater than or equal to a first threshold, configuring the individual reward and punishment coefficient to be a first penalty coefficient;

[0110] When the number of the security flaws is less than the first threshold, if the number of non-security flaws is greater than the second threshold, the personal reward and punishment coefficient is configured as the first penalty coefficient; if the number of the non-security flaws is less than or equal to the second threshold, the personal reward and punishment coefficient is configured as the second penalty coefficient.

[0111] In the embodiment of the present invention, the defect types include security defects and non-security defects. Among them, security defects are operational defects that pose a security risk to the business, such as incorrect contract terms, missing capital verification certificates, incorrect payment accounts, etc., while non-security defects are operational errors that do not pose a security risk to the business, such as the wrong selection or wrong filling of irrelevant funds and qualifications. Obviously, the importance of security defects is higher than that of non-security defects. Therefore, in the process of determining the personal reward and punishment coefficient, security defects are used as the main judgment basis, and non-security defects are used as auxiliary judgment basis. Among them, the personal reward and punishment coefficient includes a first penalty coefficient, a second penalty coefficient and a reward coefficient. The first penalty coefficient is greater than the second penalty coefficient, the second penalty coefficient is greater than 1, and the reward coefficient is less than 1. That is to say, the penalty coefficient is used to increase the number of quality inspection processes, and the reward coefficient is used to reduce the number of quality inspection processes. The specific values ​​of the first threshold, the second threshold, the first penalty coefficient, the second penalty coefficient and the reward coefficient can be customized according to actual application requirements, and the embodiment of the present invention does not make specific limitations.

[0112] In one embodiment of the present invention, for further explanation and limitation, the step of randomly selecting the business process of the quality inspection object under the corresponding transaction mode as the target quality inspection business process according to the number of quality inspection processes includes:

[0113] Randomly select the business process of the quality inspection object under the corresponding transaction mode as the candidate business process for random inspection;

[0114] In the case where the execution object of the candidate sampling inspection business process is unique, determining the candidate sampling inspection business process as the target quality inspection business process;

[0115] In the case that the execution object of the candidate random inspection business process is not unique, obtaining the random inspection status of the associated execution object of the candidate random inspection business process;

[0116] If the sampling inspection status of any of the associated execution objects is already sampled, the number of the quality inspection processes of the quality inspection object is reduced by 1, and the candidate sampling inspection business process is eliminated;

[0117] If the sampling inspection status of any of the associated execution objects is not sampled, the candidate sampling inspection business process is determined as the target quality inspection business process;

[0118] When the number of the target quality inspection business processes is less than the number of quality inspection processes, return to the step of randomly selecting the business processes of the quality inspection object under the corresponding transaction mode as candidate sampling business processes until the number of the target quality inspection business processes is equal to the number of quality inspection processes.

[0119] In the embodiment of the present invention, since the business personnel corresponding to a business process is not limited to one, when a business process corresponds to two or more business personnel, there is a possibility that the currently sampled process has been inspected during the quality inspection process of other quality inspection objects. In order to avoid repeated quality inspections, it is necessary to determine the number of execution objects of the business process after the business process is extracted. If it is not unique, that is, the execution object of the current business process has other execution objects (associated execution objects) in addition to the current quality inspection object, it is necessary to confirm whether this business process has been quality inspected. If it has been quality inspected, this candidate quality inspection process can be omitted and one can be deducted from the number of quality inspection processes accordingly.

[0120] In an embodiment of the present invention, for further explanation and limitation, after receiving the quality inspection result of the quality inspection node in step 1, the method further includes:

[0121] If, in any transaction mode, the number of security defects in the quality inspection result is greater than a third threshold, then the personal reward and punishment coefficient in the corresponding transaction mode is updated according to the difference between the number of security defects and the third threshold;

[0122] According to the sampling inspection parameters and the updated individual reward and punishment coefficient, the expected number of quality inspection processes of the quality inspection object under the transaction mode is calculated;

[0123] The number of quality inspection processes is determined according to the difference between the expected number of quality inspection processes and the number of quality inspection processes of the quality inspection object, and the step of randomly selecting the business process of the quality inspection object under the corresponding transaction mode according to the number of quality inspection processes as the target quality inspection business process is returned.

[0124] In an embodiment of the present invention, after completing the quality inspection of each quality inspection object, it is also necessary to adjust the personal reward and punishment coefficient of the quality inspection object according to the quality inspection results. If the number of security defects in the quality inspection results under a certain transaction mode is greater than the third threshold value, it indicates that there are major problems with the business process operation under the current transaction mode of this quality inspection object, then it is necessary to increase the number of quality inspections of this quality inspection object, and the greater the difference between the number of security defects and the third threshold value, the more quality inspections are increased. Therefore, the personal reward and punishment coefficient of the quality inspection object is updated according to this difference value, which can be determined according to the incremental table of the difference value and the personal reward and punishment coefficient, or the product of the difference value and the original personal reward and punishment coefficient can be used as the new personal reward and punishment coefficient to determine the new expected number of quality inspection processes, and then determine the difference between the new expected number of quality inspection processes and the number of quality inspection processes, as the number of quality inspections to increase, and perform random inspections again and the processes in between. The specific value of the third threshold value can be customized according to actual application requirements, and the embodiment of the present invention does not make specific limitations.

[0125] It should be noted that by dynamically adjusting the quality inspection quantity through the current quality inspection results, feedback adjustment of the quality inspection results on the quality inspection quantity is realized, thereby improving the adjustment adaptability of the quality inspection quantity to the defect level of the quality inspection object, thereby improving the effectiveness and flexibility of quality inspection.

[0126] In an embodiment of the present invention, for further explanation and limitation, after receiving the quality inspection result of the quality inspection node in step 1, the method further includes:

[0127] At a preset time point, obtain the number of sampling inspection processes for all quality inspection objects in the second historical time period;

[0128] If the number of sampling processes is less than the sampling number threshold, the compensatory quality inspection quantity is determined based on the difference between the sampling number threshold and the number of samplings of the quality inspection object, and the compensatory quality inspection is performed based on the compensatory quality inspection quantity.

[0129] In an embodiment of the present invention, the preset time point may be the handover time point of two preset cycles, for example, the end time point of the current preset cycle (such as the first day of each month), or the start time point of the next preset cycle (such as the first day of each quarter). The second historical time period may be a preset cycle between the preset time points or an integer multiple of the preset cycle. The sampling quantity threshold may be 1, 2, etc., or may be customized according to actual application requirements. In order to ensure full coverage of the quality inspection process on the quality inspection object, it is avoided that the quality inspection object is reduced or even missed due to too few defects in the quality inspection object or too few business processes completed. Every once in a while, the number of sampling processes of all quality inspection objects is checked once. If the number of sampling processes of a quality inspection object is not enough during this time period, the compensation quality inspection quantity is determined according to the difference between the sampling quantity threshold and the number of sampling processes of the quality inspection object, and the compensation quality inspection is performed according to the compensation quality inspection quantity, thereby ensuring that the quality inspection process covers the quality inspection object comprehensively. In the process of compensating quality inspection, the transaction mode of extracting the business process may be random, or the transaction mode containing the least number of business processes may be sampled.

[0130] The present invention provides a business process quality inspection method, firstly obtains business processes of different transaction modes that are completed within a preset time, and determines at least one execution object of the business process as a quality inspection object; retrieves sampling parameters of different transaction modes, and personal reward and punishment coefficients of the quality inspection object under different transaction modes; calculates the number of quality inspection processes of the quality inspection object under different transaction modes according to the sampling parameters and personal reward and punishment coefficients; randomly selects the business process of the quality inspection object under the corresponding transaction mode as the target quality inspection business process according to the number of quality inspection processes; issues the target quality inspection business process to the quality inspection node, and receives the quality inspection result of the quality inspection node. Compared with the prior art, the embodiment of the present invention calculates the number of quality inspection processes of the quality inspection object under different transaction modes through sampling parameters of different transaction modes and personal reward and punishment coefficients of the quality inspection object under different transaction modes, so that the determination of the number of quality inspection processes is more flexible and more targeted, avoiding the problem that the quality inspection quantity and quality inspection effectiveness requirements cannot be met at the same time according to the fixed value sampling, greatly reducing the number of quality inspections of the business process, and at the same time, ensuring the effectiveness of the quality inspection, thereby effectively reducing the human cost of quality inspection and improving the efficiency of business process quality inspection.

[0131] Furthermore, as a response to the above Figure 1 The implementation of the method shown in the figure, the embodiment of the present invention provides a business process quality inspection device, such as Figure 3 As shown, the device comprises:

[0132] A determination module 31 is used to obtain business processes of different transaction modes that are completed within a preset time period, and determine at least one execution object of the business process as a quality inspection object;

[0133] The retrieving module 32 is used to retrieve the sampling parameters of different transaction modes and the individual reward and punishment coefficients of the quality inspection object under different transaction modes;

[0134] A calculation module 33, used to calculate the number of quality inspection processes of the quality inspection object under different transaction modes according to the sampling inspection parameters and the individual reward and punishment coefficient;

[0135] An extraction module 34 is used to randomly extract the business process of the quality inspection object under the corresponding transaction mode as the target quality inspection business process according to the number of quality inspection processes;

[0136] The issuing module 35 is used to issue the target quality inspection business process to the quality inspection node and receive the quality inspection result of the quality inspection node.

[0137] Furthermore, the calculation module includes:

[0138] A retrieving unit, used to retrieve the transaction mode weights of different transaction modes, and the total periodic quality inspection amount and the quality inspection amount of the quality inspection object within a preset period;

[0139] A calculation unit, for performing a correction calculation on the initial sampling ratio for each transaction mode according to the transaction mode weight and the individual reward and punishment coefficient, to obtain the expected number of quality inspection processes under different transaction modes;

[0140] A first determining unit is used to determine the expected number of quality inspection processes as the number of quality inspection processes when the sum of the quality inspection quantity within the period and the expected number of quality inspection processes is less than or equal to the total quality inspection quantity of the period;

[0141] The second determination unit is used to determine the difference between the total quality inspection amount of the period and the quality inspection amount in the period as the number of quality inspection processes when the sum of the quality inspection amount in the period and the expected quality inspection process number is greater than the total quality inspection amount of the period.

[0142] Furthermore, the device also includes:

[0143] The first acquisition module is used to obtain the overall quality inspection defect rate of all quality inspection objects in the first historical time period under different business transaction modes, as well as the personal quality inspection defect data of different quality inspection objects;

[0144] An identification module is used to identify, from a sampling ratio mapping relationship set, a sampling ratio that matches the defect rate probability interval in which the overall quality inspection defect rate is located as an initial sampling ratio, wherein the sampling ratio mapping relationship set includes a mapping relationship between a plurality of defect rate probability intervals determined according to key performance indicators of a business process and the corresponding sampling ratios;

[0145] The determination module is further used to determine the personal reward and punishment coefficient of the quality inspection object under different transaction modes according to the defect type in the personal quality inspection defect data and the number of defects under different defect types.

[0146] Furthermore, the determination module includes:

[0147] A first configuration unit is configured to configure the personal reward and punishment coefficient as a reward coefficient if the number of non-security defects is less than a second threshold value when the personal quality inspection defect data only includes non-security defects; and to configure the reward and punishment coefficient as 1 if the number of non-security defects is greater than or equal to the second threshold value;

[0148] A second configuration unit, configured to configure the individual reward and punishment coefficient to a first penalty coefficient when the number of the security flaws is greater than or equal to a first threshold;

[0149] A third configuration unit is configured to configure the personal reward and punishment coefficient as the first penalty coefficient if the number of non-security defects is greater than the second threshold when the number of security defects is less than the first threshold; and configure the personal reward and punishment coefficient as the second penalty coefficient if the number of non-security defects is less than or equal to the second threshold;

[0150] Among them, the first penalty coefficient is greater than the second penalty coefficient, the second penalty coefficient is greater than 1, and the reward coefficient is less than 1.

[0151] Furthermore, the extraction module comprises:

[0152] An extraction unit, used for randomly extracting a business process of the quality inspection object under a corresponding transaction mode as a candidate sampling inspection business process;

[0153] A third determination unit is used to determine the candidate sampling inspection business process as the target quality inspection business process when the execution object of the candidate sampling inspection business process is unique;

[0154] The fourth determination unit is used to obtain the sampling status of the associated execution object of the candidate sampling business process when the execution object of the candidate sampling business process is not unique; if the sampling status of any of the associated execution objects is sampled, the number of quality inspection processes of the quality inspection object is reduced by 1, and the candidate sampling business process is eliminated; if the sampling status of any of the associated execution objects is not sampled, the candidate sampling business process is determined as the target quality inspection business process;

[0155] A loop judgment unit is used to return to the step of randomly selecting the business process of the quality inspection object under the corresponding transaction mode as a candidate sampling business process when the number of the target quality inspection business process is less than the number of quality inspection processes, until the number of the target quality inspection business process is equal to the number of quality inspection processes.

[0156] Furthermore, the device also includes:

[0157] An updating module, configured to update the personal reward and punishment coefficient in the corresponding transaction mode according to the difference between the number of security defects and the third threshold value if the number of security defects in the quality inspection result is greater than a third threshold value in any transaction mode;

[0158] The calculation module is further used to calculate the expected number of quality inspection processes of the quality inspection object under the transaction mode according to the sampling inspection parameters and the updated personal reward and punishment coefficient;

[0159] The determination module is also used to determine the number of quality inspection processes based on the difference between the expected number of quality inspection processes and the number of quality inspection processes of the quality inspection object that have been quality inspected, and return the step of randomly selecting the business process of the quality inspection object under the corresponding transaction mode according to the number of quality inspection processes as the target quality inspection business process.

[0160] Furthermore, the device also includes:

[0161] An acquisition module is used to obtain the number of sampling inspection processes of all quality inspection objects in the second historical time period at a preset time point;

[0162] The compensatory quality inspection module determines the compensatory quality inspection quantity according to the difference between the sampling quantity threshold and the number of samples inspected of the quality inspection object if the sampling process quantity is less than the sampling quantity threshold, and performs compensatory quality inspection according to the compensatory quality inspection quantity.

[0163] The present invention provides a business process quality inspection device, firstly obtains business processes of different transaction modes that are completed within a preset time, and determines at least one execution object of the business process as a quality inspection object; retrieves sampling parameters of different transaction modes, and personal reward and punishment coefficients of the quality inspection object under different transaction modes; calculates the number of quality inspection processes of the quality inspection object under different transaction modes according to the sampling parameters and personal reward and punishment coefficients; randomly selects the business process of the quality inspection object under the corresponding transaction mode as the target quality inspection business process according to the number of quality inspection processes; issues the target quality inspection business process to the quality inspection node, and receives the quality inspection result of the quality inspection node. Compared with the prior art, the embodiment of the present invention calculates the number of quality inspection processes of the quality inspection object under different transaction modes through sampling parameters of different transaction modes and personal reward and punishment coefficients of the quality inspection object under different transaction modes, so that the determination of the number of quality inspection processes is more flexible and more targeted, avoiding the problem that the quality inspection quantity and quality inspection effectiveness requirements cannot be met at the same time according to the fixed value sampling, greatly reducing the number of quality inspections of the business process, and at the same time, ensuring the effectiveness of the quality inspection, thereby effectively reducing the human cost of quality inspection and improving the efficiency of business process quality inspection.

[0164] According to an embodiment of the present invention, a storage medium is provided, wherein the storage medium stores at least one executable instruction, and the computer executable instruction can execute the business process quality inspection method in any of the above method embodiments.

[0165] Figure 4 A schematic diagram of the structure of a computer device provided according to an embodiment of the present invention is shown. The specific embodiment of the present invention does not limit the specific implementation of the computer device.

[0166] like Figure 4 As shown, the computer device may include: a processor (processor) 402 , a communication interface (Communications Interface) 404 , a memory (memory) 406 , and a communication bus 408 .

[0167] The processor 402 , the communication interface 404 , and the memory 406 communicate with each other via a communication bus 408 .

[0168] The communication interface 404 is used to communicate with other devices such as clients or other servers.

[0169] The processor 402 is used to execute the program 410, and specifically can execute the relevant steps in the above-mentioned business process quality inspection method embodiment.

[0170] Specifically, the program 410 may include program codes, which include computer operation instructions.

[0171] The processor 402 may be a central processing unit (CPU), or an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present invention. The one or more processors included in the computer device may be processors of the same type, such as one or more CPUs; or processors of different types, such as one or more CPUs and one or more ASICs.

[0172] The memory 406 is used to store the program 410. The memory 406 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0173] The program 410 may be specifically configured to enable the processor 402 to perform the following operations:

[0174] Acquire business processes of different transaction modes that are completed within a preset time period, and determine at least one execution object of the business process as a quality inspection object;

[0175] Retrieving sampling parameters of different transaction modes, as well as individual reward and punishment coefficients of the quality inspection object under different transaction modes;

[0176] Calculate the number of quality inspection processes of the quality inspection object under different transaction modes based on the sampling inspection parameters and the individual reward and punishment coefficients;

[0177] Randomly select the business process of the quality inspection object under the corresponding transaction mode according to the number of quality inspection processes as the target quality inspection business process;

[0178] The target quality inspection business process is issued to the quality inspection node, and the quality inspection result of the quality inspection node is received.

[0179] Obviously, those skilled in the art should understand that the above modules or steps of the present invention can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, and optionally, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order than here, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0180] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, 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 business process quality inspection method, characterized in that: include: Acquire business processes of different transaction modes that are completed within a preset time period, and determine at least one execution object of the business process as a quality inspection object; Retrieving sampling parameters of different transaction modes, as well as individual reward and punishment coefficients of the quality inspection object under different transaction modes; Calculate the number of quality inspection processes of the quality inspection object under different transaction modes based on the sampling inspection parameters and the individual reward and punishment coefficients; Randomly select the business process of the quality inspection object under the corresponding transaction mode according to the number of quality inspection processes as the target quality inspection business process; The target quality inspection business process is issued to the quality inspection node, and the quality inspection result of the quality inspection node is received.

2. The method according to claim 1, characterized in that The sampling inspection parameters include transaction mode weights and initial sampling inspection ratios. The number of quality inspection processes of the quality inspection object under different transaction modes is calculated based on the sampling inspection parameters and the individual reward and punishment coefficients, including: Retrieving the transaction mode weights of different transaction modes, and the total periodic quality inspection amount and the quality inspection amount of the quality inspection object within a preset period; For each transaction mode, the initial sampling ratio is modified and calculated according to the transaction mode weight and the individual reward and punishment coefficient to obtain the expected number of quality inspection processes under different transaction modes; If the sum of the quality inspection quantity within the period and the expected quality inspection process quantity is less than or equal to the total quality inspection quantity of the period, the expected quality inspection process quantity is determined as the quality inspection process quantity; When the sum of the quality-inspected quantity within the period and the expected number of quality inspection processes is greater than the total quality inspection quantity of the period, the difference between the total quality inspection quantity of the period and the quality-inspected quantity within the period is determined as the number of quality inspection processes.

3. The method according to claim 2, characterized in that Before calling the sampling parameters of different transaction modes and the personal reward and punishment coefficients of the quality inspection object under different transaction modes, the method further includes: Obtain the overall quality inspection defect rate of all quality inspection objects in the first historical time period under different business transaction modes, as well as the individual quality inspection defect data of different quality inspection objects; Identify the sampling ratio that matches the defect rate probability interval where the overall quality inspection defect rate is located from the sampling ratio mapping relationship set as the initial sampling ratio, wherein the sampling ratio mapping relationship set includes a mapping relationship between a plurality of defect rate probability intervals determined according to the key performance indicators of the business process and the corresponding sampling ratios; According to the defect types in the personal quality inspection defect data and the number of defects under different defect types, the personal reward and punishment coefficients of the quality inspection object under different transaction modes are determined.

4. The method according to claim 3, characterized in that The defect types include security defects and non-security defects. The personal reward and punishment coefficients of the quality inspection object under different transaction modes are determined based on the defect types in the personal quality inspection defect data and the number of defects under different defect types, including: In the case where the personal quality inspection defect data only includes non-safety defects, if the number of non-safety defects is less than a second threshold, the personal reward and punishment coefficient is configured as a reward coefficient; if the number of non-safety defects is greater than or equal to the second threshold, the reward and punishment coefficient is configured as 1; When the number of the security flaws is greater than or equal to a first threshold, configuring the individual reward and punishment coefficient to be a first penalty coefficient; In the case where the number of the security flaws is less than the first threshold, if the number of the non-security flaws is greater than the second threshold, the personal reward and punishment coefficient is configured as the first penalty coefficient; if the number of the non-security flaws is less than or equal to the second threshold, the personal reward and punishment coefficient is configured as the second penalty coefficient; Among them, the first penalty coefficient is greater than the second penalty coefficient, the second penalty coefficient is greater than 1, and the reward coefficient is less than 1.

5. The method according to claim 1, characterized in that The randomly selecting the business process of the quality inspection object under the corresponding transaction mode as the target quality inspection business process according to the number of quality inspection processes includes: Randomly select the business process of the quality inspection object under the corresponding transaction mode as the candidate business process for random inspection; In the case where the execution object of the candidate sampling inspection business process is unique, determining the candidate sampling inspection business process as the target quality inspection business process; In the case that the execution object of the candidate random inspection business process is not unique, obtaining the random inspection status of the associated execution object of the candidate random inspection business process; If the sampling inspection status of any of the associated execution objects is already sampled, the number of the quality inspection processes of the quality inspection object is reduced by 1, and the candidate sampling inspection business process is eliminated; If the sampling inspection status of any of the associated execution objects is not sampled, the candidate sampling inspection business process is determined as the target quality inspection business process; When the number of the target quality inspection business processes is less than the number of quality inspection processes, return to the step of randomly selecting the business processes of the quality inspection object under the corresponding transaction mode as candidate sampling business processes until the number of the target quality inspection business processes is equal to the number of quality inspection processes.

6. The method according to claim 1, characterized in that After receiving the quality inspection result of the quality inspection node, the method further includes: If, in any transaction mode, the number of security defects in the quality inspection result is greater than a third threshold, then the personal reward and punishment coefficient in the corresponding transaction mode is updated according to the difference between the number of security defects and the third threshold; According to the sampling inspection parameters and the updated individual reward and punishment coefficient, the expected number of quality inspection processes of the quality inspection object under the transaction mode is calculated; The number of quality inspection processes is determined according to the difference between the expected number of quality inspection processes and the number of quality inspection processes of the quality inspection object, and the step of randomly selecting the business process of the quality inspection object under the corresponding transaction mode according to the number of quality inspection processes as the target quality inspection business process is returned.

7. The method according to any one of claims 1 to 6, characterized in that After receiving the quality inspection result of the quality inspection node, the method further includes: At a preset time point, obtain the number of sampling inspection processes for all quality inspection objects in the second historical time period; If the number of sampling processes is less than the sampling number threshold, the compensatory quality inspection quantity is determined based on the difference between the sampling number threshold and the number of samplings of the quality inspection object, and the compensatory quality inspection is performed based on the compensatory quality inspection quantity.

8. A business process quality inspection device, characterized in that: include: A determination module, used to obtain business processes of different transaction modes that are completed within a preset time period, and determine at least one execution object of the business process as a quality inspection object; A calling module, used to call sampling parameters of different transaction modes, and individual reward and punishment coefficients of the quality inspection object under different transaction modes; A calculation module, used to calculate the number of quality inspection processes of the quality inspection object under different transaction modes according to the sampling inspection parameters and the individual reward and punishment coefficient; An extraction module, used for randomly extracting the business process of the quality inspection object under the corresponding transaction mode as the target quality inspection business process according to the number of quality inspection processes; The issuing module is used to issue the target quality inspection business process to the quality inspection node and receive the quality inspection result of the quality inspection node.

9. A storage medium storing at least one executable instruction, wherein the executable instruction enables a processor to execute an operation corresponding to the business process quality inspection method according to any one of claims 1 to 7.

10. A computer device comprising: A processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus; The memory is used to store at least one executable instruction, and the executable instruction enables the processor to perform an operation corresponding to the business process quality inspection method according to any one of claims 1-7.

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