Information determination method and device, computer readable storage medium and computer program product

Abstract

The embodiment of the invention discloses an information determination method. The method comprises the steps that a first calling request carrying a task execution strategy corresponding to a to-be-processed task is sent to a second server; receiving first feedback information which is sent by the second server and aims at the first calling request; wherein the first feedback information is determined based on a task execution strategy and basic information obtained by calling a target process automation tool from a target cooperation system corresponding to the to-be-processed task; the basic information is information related to the to-be-processed task; and determining an execution result of the to-be-processed task based on the first feedback information. The embodiment of the invention further discloses information determination equipment and device, a computer readable storage medium and a computer program product.

Description

Technical Field

[0001] This application relates to information determination technology in the field of computer technology, and particularly relates to an information determination method, device, computer-readable storage medium, and computer program product. Background Art

[0002] In the securities industry, the salary of business personnel usually consists of two parts: basic salary and bonus salary. Since the monthly sales volume of business personnel is different, the bonus salary fluctuates greatly each month. Based on this, it is extremely important to verify the calculated bonus salary. Currently, in related technologies, specific staff usually verify the bonus salary and issue the bonus after successful verification. However, the method of manually verifying the bonus salary is not only inefficient but also inaccurate. Summary of the Invention

[0003] To solve the above technical problems, embodiments of this application are expected to provide an information determination method, device, computer-readable storage medium, and computer program product, which can solve the problems of poor verification efficiency and low accuracy of bonus salary in the process of verifying bonus salary in related technologies.

[0004] The technical solution of this application is implemented as follows:

[0005] An information determination method, the method includes:

[0006] Send a first call request carrying a task execution policy corresponding to a task to be processed to a second server;

[0007] Receive a first feedback message sent by the second server for the first call request; wherein, the first feedback message is determined based on the task execution policy and by invoking a target process automation tool to obtain basic information from a target collaboration system corresponding to the task to be processed; the basic information is information related to the task to be processed;

[0008] Determine the execution result of the task to be processed based on the first feedback message.

[0009] In the above solution, the method further includes:

[0010] Determine the business bonus of the business personnel to be processed corresponding to the target detection task, and send the business bonus to the second server; wherein, the task to be processed includes the target detection task;

[0011] Correspondingly, the determining the execution result of the task to be processed based on the first feedback message includes:

[0012] Determine the target reward for the to-be-processed business personnel based on the first feedback information and the business reward; wherein, the first feedback information is determined by the second server based on the first detection strategy, the business reward, and the basic information; the task execution strategy includes the first detection strategy.

[0013] In the above solution, the determining the target reward for the to-be-processed business personnel based on the first feedback information and the business reward includes:

[0014] Determine the to-be-issued reward based on the first feedback information and the business reward;

[0015] Send a second call request carrying the second detection strategy and the to-be-issued reward to the second server, and receive the second feedback information sent by the second server for the second call request; wherein, the second detection strategy is a strategy related to the basic information of the to-be-processed business personnel and the business information of the to-be-processed business personnel;

[0016] Determine the target reward for the to-be-processed business personnel based on the second feedback information and the to-be-issued reward.

[0017] In the above solution, the determining the target reward for the to-be-processed business personnel based on the second feedback information and the to-be-issued reward includes:

[0018] If the second feedback information indicates that the to-be-issued reward is normal, determine the to-be-issued reward as the target reward;

[0019] If the second feedback information indicates that the to-be-issued reward is abnormal, determine whether the second detection strategy is abnormal, and determine the target reward based on the determination result, the target correction information, the second detection strategy, and the to-be-issued reward.

[0020] In the above solution, the method further includes:

[0021] Send a third call request carrying the summary strategy and multiple target rewards to the second server.

[0022] An information determination method, the method includes:

[0023] Receive a first call request sent by the first server; wherein, the first call request carries the task execution strategy corresponding to the to-be-processed task;

[0024] Respond to the first call request, and call the target process automation tool to obtain the basic information related to the to-be-processed task from the target collaboration system corresponding to the to-be-processed task;

[0025] Determine the first feedback information based on the task execution policy and the basic information;

[0026] Send the first feedback information to the first server, so that the first server determines the execution result of the task to be processed based on the first feedback information.

[0027] In the above solution, the method further includes:

[0028] Receive the business rewards of the business personnel to be processed corresponding to the target detection task sent by the first server; wherein, the task to be processed includes the target detection task.

[0029] In the above solution, the determining the first feedback information based on the task execution policy and the basic information includes:

[0030] Invoke the target process automation tool, and determine multiple pieces of information to be detected corresponding to the first detection strategy based on the target business information and target rules of the business personnel to be processed; wherein, the basic information includes the target business information and the target rules; the task execution policy includes the first detection strategy; the first detection strategy is a strategy related to the target rule for determining the business rewards;

[0031] Invoke the target process automation tool, and perform verification processing on the multiple pieces of information to be detected according to the first detection strategy based on the business rewards to obtain the first feedback information.

[0032] In the above solution, the method further includes:

[0033] Receive the second invocation request sent by the first server; wherein, the second invocation request carries a second detection strategy and the reward to be distributed; the reward to be distributed is determined by the first server based on the first feedback information and the business rewards;

[0034] Invoke the target process automation tool, perform verification processing on the reward to be distributed according to the second detection strategy to obtain the second feedback information, and send the second feedback information to the first server.

[0035] In the above solution, the method further includes:

[0036] Receive the third invocation request sent by the first server carrying a summarization strategy and multiple target rewards, and invoke the target process automation tool to perform summarization processing on the multiple target rewards according to the summarization strategy to obtain a target report; wherein, the multiple target rewards are determined by the first server based on the second feedback information and the reward to be distributed.

[0037] An information determination device, the device comprising: a processor, a memory, and a communication bus;

[0038] The communication bus is used to implement a communication connection between the processor and the memory;

[0039] The processor is used to execute an information determination program stored in the memory to implement the steps of the above information determination method.

[0040] A computer-readable storage medium, the storage medium storing one or more programs, the one or more programs being executable by one or more processors to implement the steps of the above information determination method.

[0041] A computer program product, the computer program product comprising a computer program, the computer program implementing the steps of the above information determination method when executed by a processor.

[0042] The information determination method, device, computer-readable storage medium, and computer program product provided by the embodiments of the present application can send a first call request carrying a task execution policy corresponding to a to-be-processed task to a second server, and receive first feedback information determined by the second server based on the task execution policy and basic information obtained from a target collaboration system by invoking a target process automation tool, and then determine an execution result of the to-be-processed task based on the first feedback information; in this way, a first call request carrying a task execution policy corresponding to a reward verification task can be sent to the second server, and then, based on the task execution policy, the second server will invoke the target process automation tool to execute the reward verification task and send the feedback information generated after executing the task to the second server, that is, the target process automation tool can automatically verify the reward salary according to the task execution policy, rather than verifying the reward salary manually as in the related art, solving the problems of poor verification efficiency and low accuracy of the reward salary in the process of verifying the reward salary in the related art. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 It is a flowchart of an information determination method provided by an embodiment of the present application;

[0044] Figure 2 It is a flowchart of another information determination method provided by an embodiment of the present application;

[0045] Figure 3 It is a flowchart of yet another information determination method provided by an embodiment of the present application;

[0046] Figure 4 It is a system interaction flowchart corresponding to an information determination method provided by an embodiment of the present application;

[0047] Figure 5 The interaction flowchart between the performance system and the RPA tool in an information determination method provided by an embodiment of the present application;

[0048] Figure 6 The structural schematic diagram of a first server provided by an embodiment of the present application;

[0049] Figure 7 The structural schematic diagram of a second server provided by an embodiment of the present application;

[0050] Figure 8 The structural schematic diagram of a first information determination device provided by an embodiment of the present application;

[0051] Figure 9 The structural schematic diagram of a second information determination device provided by an embodiment of the present application. Detailed implementation manners

[0052] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application.

[0053] It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0054] An embodiment of the present application provides an information determination method, which can be applied to a first server. Referring to Figure 1 as shown, the method includes the following steps:

[0055] Step 101: Send a first call request carrying a task execution policy corresponding to a task to be processed to a second server.

[0056] In an embodiment of the present application, the first server may refer to a server storing a task execution policy; the second server may refer to a server executing a task to be processed; the task execution policy may include an execution logic and execution rules of the task to be processed.

[0057] It should be noted that the task to be processed may be any task that needs to be executed. Preferably, the task to be processed may be a task with relatively cumbersome execution steps. For example, the task to be processed may be a reward calculation task, a ticket price verification service, an attendance duration statistics task, or other types of services, which are not specifically limited herein.

[0058] Step 102: Receive first feedback information sent by the second server in response to the first call request.

[0059] Among them, the first feedback information is determined based on the task execution policy and the basic information obtained from the target collaboration system corresponding to the task to be processed by invoking the target process automation tool; the basic information is information related to the task to be processed.

[0060] In the embodiment of the present application, the target process automation tool may refer to a Robotic Process Automation (RPA) tool, and the RPA tool runs on the second server. Specifically, after sending the first call request to the second server, the RPA tool can determine the target collaboration system corresponding to the task to be processed from multiple target collaboration systems according to the task execution policy, so as to obtain the basic information related to the task to be processed from it. Then, the RPA tool can execute the task to be processed according to the basic information and the task execution policy to generate feedback information for the first call request (i.e., the first feedback information).

[0061] Step 103: Determine the execution result of the task to be processed based on the first feedback information.

[0062] In the embodiment of the present application, if the task to be processed is an attendance duration statistics task, the execution result of the task, that is, the attendance duration of each person, can be determined according to the received first feedback information; if the task to be processed is a bonus salary calculation task, the bonus salary of each person can be determined according to the received first feedback information; if the task to be processed is a ticket price verification task, it can be determined whether the ticket price is correct according to the first feedback information.

[0063] The information determination method provided by the embodiment of the present application can send a first call request carrying the task execution policy corresponding to the task to be processed to the second server, and receive the first feedback information determined based on the task execution policy and the basic information obtained by invoking the target process automation tool sent by the second server, so as to determine the task execution result according to the first feedback information; in this way, only the task execution policy needs to be sent to the second server, and the second server will call the target process automation tool to automatically execute the task to be processed according to the task execution policy, rather than having the task to be processed executed manually as in the related art, solving the problems of poor verification efficiency and low accuracy of bonus salary in the process of verifying bonus salary in the related art.

[0064] The embodiment of the present application provides an information determination method, which can be applied to the second server. Referring to Figure 2 as shown, the method includes the following steps:

[0065] Step 201: Receive a first call request sent by the first server.

[0066] Among them, the first call request carries the task execution policy corresponding to the task to be processed.

[0067] In the embodiment of the present application, the second server may refer to a server running a target process automation tool, i.e., an RPA tool. Specifically, the first call request sent by the first server can be received through the interface of the second server.

[0068] Step 202: In response to the first call request, call the target process automation tool to obtain basic information related to the task to be processed from the target collaboration system corresponding to the task to be processed.

[0069] In the embodiment of the present application, the target collaboration system may refer to a management system running on a third server and storing information related to the task to be processed; specifically, after receiving the first call request, the RPA tool running on itself can be called to determine the target collaboration system corresponding to the task to be processed according to the task execution policy carried in the call request, and then, basic information related to the task to be processed can be obtained from the target collaboration system running on the third server.

[0070] Step 203: Determine the first feedback information based on the task execution policy and the basic information.

[0071] In the embodiment of the present application, the task execution policy may include the execution logic and execution rules of the task to be processed. Specifically, the target process automation tool (i.e., the RPA tool) can execute the task to be processed according to the task execution policy and the basic information related to the task to be processed, and generate the first feedback information according to the execution result of the task to be processed.

[0072] In a realizable manner, if the task to be processed is a statistical task of monthly attendance duration, the basic information may refer to the daily attendance duration of business personnel. Specifically, the monthly attendance duration of each business personnel can be statistically calculated according to the execution policy of the statistical task and the daily attendance duration of business personnel, and the first feedback information can be generated according to the obtained monthly attendance duration.

[0073] Step 204: Send the first feedback information to the first server so that the first server can determine the execution result of the task to be processed based on the first feedback information.

[0074] In the embodiment of the present application, the first feedback information can be sent to the first server through the interface of the second server itself, and after the first server receives the first feedback information through its own interface, it will determine the execution result of the task to be processed according to the first feedback information.

[0075] The information determination method provided by the embodiments of the present application can respond to the received first call request, call the target process automation tool to obtain basic information related to the to-be-processed task from the target collaboration system corresponding to the to-be-processed task, and send the first feedback information determined based on the task execution policy and the basic information to the first server, so that the first server determines the execution result of the to-be-processed task based on the first feedback information; thus, after receiving the task execution policy, the second server will call the target process automation tool and automatically execute the to-be-processed task according to the task execution policy, rather than having the to-be-processed task executed manually as in the related art, solving the problems of poor verification efficiency and low accuracy of the reward salary in the process of verifying the reward salary in the related art.

[0076] Based on the foregoing embodiments, an embodiment of the present application provides an information determination method, which is applied to the scenario of reward verification. Refer to Figure 3 As shown, the method may include the following steps:

[0077] Step 301, the first server determines the business reward of the to-be-processed business personnel corresponding to the target detection task.

[0078] Among them, the to-be-processed task includes a target detection task.

[0079] In the embodiments of the present application, the target detection task may refer to a reward verification task, and the reward verification task in the present application may include a payable reward verification subtask and an actual reward verification subtask; the to-be-processed business personnel may refer to the business personnel waiting for the reward salary to be paid; the business reward may refer to the payable reward of the to-be-processed business personnel.

[0080] It should be noted that the business reward contains the specific details of each payable reward, and the business reward can be Figure 4 pre-determined through the performance system in.

[0081] Step 302, the first server sends a first call request carrying the task execution policy corresponding to the target detection task and the business reward of the to-be-processed business personnel to the second server.

[0082] In the embodiments of the present application, the task execution policy may refer to the first detection policy corresponding to the payable reward verification subtask. Specifically, as Figure 4 shown, the first detection policy and the business reward can be sent to the second server through its own interface, so that the second server calls the RPA tool to verify and process the business reward according to the first detection policy.

[0083] It should be noted that the first detection strategy is related to the target rules for determining business rewards. Specifically, the first detection strategy may include verification items for the payable rewards, the verification order of multiple verification items, and the verification logic for each verification item, etc. Among them, the verification items for the payable rewards may include whether the income amount of the business personnel to be processed is correct, whether the distribution ratio of the rewards is correct, whether the distribution ratio of the reverse-calculated rewards is correct, whether the sales policy corresponding to the rewards is correct, and whether the payable rewards of the business personnel to be processed are generated.

[0084] Step 303, the second server receives the first invocation request sent by the first server and the business rewards of the business personnel to be processed.

[0085] Among them, the first invocation request carries the task execution strategy corresponding to the task to be processed.

[0086] Step 304, the second server responds to the first invocation request, and invokes the target process automation tool to determine the target collaboration system corresponding to the payable reward verification subtask from multiple collaboration systems running on multiple third servers.

[0087] In the embodiments of the present application, as Figure 4 shown, the multiple collaboration systems may include a data integration system, an authentication system, a wealth system, an office software system, etc., and the target collaboration system may be one or more of the multiple collaboration systems, that is, the target collaboration system may only be the data integration system, or may include the authentication system and the wealth system. It should be noted that the multiple collaboration systems operate independently on multiple third servers, and one collaboration system corresponds to one third server.

[0088] Specifically, after receiving the first invocation request, the RPA tool of the second server may determine the collaboration system related to the payable reward verification subtask (i.e., the target collaboration system) from the multiple collaboration systems according to the first detection strategy carried in the first invocation request.

[0089] Step 305, the second server invokes the target process automation tool to access the third server, so as to obtain the basic information related to the payable reward verification subtask from the target collaboration system.

[0090] Among them, the basic information includes the target business information and target rules of the business personnel to be processed.

[0091] In the embodiments of the present application, the second server may invoke the RPA tool to remotely access the third server where the target collaboration system is running, and log in to the target collaboration system by inputting the account number and password, so as to obtain the basic information related to the payable reward verification subtask from the target collaboration system. It should be noted that the login account numbers and login passwords of each collaboration system are pre-stored in the RPA tool.

[0092] Step 306: The second server invokes the target process automation tool to determine multiple pieces of information to be detected corresponding to the first detection strategy based on the target business information and target rules of the business personnel to be processed.

[0093] Among them, the basic information includes the target business information and target rules; the task execution strategy includes the first detection strategy; the first detection strategy is a strategy related to the target rules for determining business rewards.

[0094] In the embodiment of this application, the target business information may refer to information related to the business personnel to be processed, which may include the basic information of the business personnel to be processed and the information of the products already sold, etc.; the target rules may refer to the calculation rules of business rewards. Specifically, the RPA tool can be invoked to determine the information to be detected corresponding to each verification item of the due rewards in the first detection strategy according to the target business information and target rules. Among them, the information to be detected may include the allocation ratio of rewards, the allocation ratio of retroactive rewards, and the verification results of the sales policies corresponding to the rewards, etc.

[0095] Step 307: The second server invokes the target process automation tool to perform verification processing on the multiple pieces of information to be detected according to the first detection strategy based on the business rewards, and obtains the first feedback information.

[0096] In the embodiment of this application, the RPA tool can perform verification processing on the information to be detected for each verification item according to the verification sequence and verification logic of the due rewards verification task in the first detection strategy, that is, determine the matching process between the reward details in the business rewards and the information to be detected for each verification item, obtain the verification results for each verification item, and then summarize the verification results for each verification item to obtain the first feedback information.

[0097] Step 308: The second server sends the first feedback information to the first server.

[0098] In the implementation of this application, as Figure 5 shown, after obtaining the first feedback information, the second server will send it to the first server through its own interface.

[0099] In the embodiments of the present application, by sending the task execution policy to the second server, the RPA tool can be invoked to execute the cumbersome verification tasks according to the task execution policy, without the need for manual verification work, significantly improving the task execution efficiency and the accuracy of the task execution effect; moreover, by combining the performance system with the RPA tool, not only the capabilities of the native performance system are extended (equivalent to having an RPA extension device), but the RPA tool can be integrated as a functional component into the intelligent function process of the performance system. Thus, through configuration and scheduling on the performance system, tasks with different verification logics can be simply and quickly generated and executed by the RPA tool.

[0100] Step 309: The first server determines the reward to be distributed based on the first feedback information and the business reward.

[0101] Among them, the first feedback information is determined by the second server based on the first detection policy, the business reward, and the basic information; the task execution policy includes the first detection policy.

[0102] In the embodiments of the present application, the reward to be distributed may refer to the actual reward for the business personnel to be processed, that is, the pre-distributed reward. Specifically, as Figure 5 shown, the payable reward can be determined according to the first feedback information, that is, the verification result of the business reward. Then, based on the verification result and the business reward, the reward to be distributed is determined.

[0103] In the embodiments of the present application, step 309 can be implemented through steps A1 to A2.

[0104] A1: If the first feedback information indicates that there is no abnormality in the business reward, the first server determines the business reward as the reward to be distributed.

[0105] In the embodiments of the present application, as Figure 5 shown, the absence of abnormality in the business reward may mean that there is no abnormality in the reward ratio, etc. for each verification item. That is to say, if the first feedback information indicates that there is no abnormality in the business reward, it means that the business reward is correct. At this time, the performance system can directly determine the business reward as the reward to be distributed.

[0106] A2: If the first feedback information indicates that there is an abnormality in the business reward, the first server determines whether there is an abnormality in the first detection policy and determines the reward to be distributed according to the determination result.

[0107] In the embodiments of the present application, as Figure 5As shown, if the first feedback information indicates that there is an abnormality in the business reward, where the abnormality in the business reward may refer to the abnormality in the verification results of one or more verification items. At this time, it can be determined whether there is an abnormality in the first detection strategy, that is, to determine whether there is an abnormality in the verification logic, etc., and determine the reward to be issued according to the abnormal determination result.

[0108] Specifically, if it is determined that there is an abnormality in the first detection strategy, the first detection strategy can be corrected and the corrected first detection strategy can be sent to the second server, so that the second server re-verifies the business reward according to the corrected first detection strategy until the reward to be issued is obtained. It should be noted that it can be determined by humans whether there is an abnormality in the first detection strategy, and the first detection strategy can be corrected by humans.

[0109] Correspondingly, as Figure 5 shown, if the first feedback information indicates that there is an abnormality in the business reward and it is determined that there is no abnormality in the first detection strategy, the previously calculated business reward can be sent to the business personnel for manual inspection. If it is determined that there is an abnormality in the business reward, that is, the previously obtained business reward is inaccurate, the business reward can be corrected through the performance system to obtain the actual reward of the business personnel to be processed, that is, the reward to be issued. It should be noted that the business reward can be corrected by humans.

[0110] In the embodiment of the present application, if it is determined that there is no abnormality in the business reward, a target instruction can be sent to the second server so that the second server calls the RPA tool to re-verify the business reward.

[0111] Step 310: The first server sends a second call request carrying the second detection strategy and the reward to be issued to the second server.

[0112] Among them, the second detection strategy is a strategy related to the basic information of the business personnel to be processed and the business information of the business personnel to be processed.

[0113] In the embodiment of the present application, the second detection strategy can be the detection strategy corresponding to the actual reward verification subtask (that is, the reward to be issued verification subtask), and the second detection strategy includes the verification items of the reward to be issued (that is, the actual reward), the verification order of multiple verification items, and the verification logic of each verification item, etc. Among them, the verification items of the reward to be issued can include whether the target product has been filtered, whether the blacklist has been excluded, etc.

[0114] It should be noted that both the first detection strategy and the second detection strategy can be configured through the performance system, and the first detection strategy and the second detection strategy can be SQL scripts, or Excel processing templates with formulas, or the address of a certain system page and page value information, which are not specifically limited here.

[0115] Step 311: The second server receives the second call request sent by the first server.

[0116] Among them, the second call request carries a second detection policy and a to-be-issued reward; the to-be-issued reward is determined by the first server based on the first feedback information and the business reward.

[0117] Step 312: The second server calls the target process automation tool to determine the target collaboration system corresponding to the actual reward verification subtask from multiple collaboration systems running on multiple third servers.

[0118] In the embodiment of the present application, after the second server receives the second call request, the RPA tool can determine the target collaboration system related to the actual reward verification subtask from multiple collaboration systems according to the second detection policy carried in the second call request.

[0119] It should be noted that the target collaboration systems corresponding to the payable reward verification subtask and the actual reward verification subtask may be the same or different.

[0120] Step 313: The second server calls the target process automation tool to access the third server, so as to obtain the information related to the actual reward verification subtask from the target collaboration system.

[0121] In the embodiment of the present application, according to step 304b, the RPA tool can be called to remotely access the third server where the target collaboration system runs, and log in to the target collaboration system by inputting the account number and password, so as to obtain the information related to the actual reward verification subtask from it.

[0122] Step 314: The second server calls the target process automation tool to perform verification processing on the to-be-issued reward based on the second detection policy and the information related to the actual reward verification subtask, obtain the second feedback information, and send the second feedback information to the first server.

[0123] In the embodiment of the present application, the RPA tool can be called to determine the to-be-detected information corresponding to each verification item of the actual reward verification subtask according to the obtained information, and then perform verification processing on each to-be-detected information according to the second detection policy, that is, perform verification processing to obtain multiple verification results. Then, the multiple verification results are summarized to obtain the second feedback information. Further, the obtained second feedback information can be sent to the first server through its own interface.

[0124] Step 315: The first server receives the second feedback information for the second call request sent by the second server, and determines the target reward of the to-be-processed business personnel based on the second feedback information and the to-be-issued reward.

[0125] In an embodiment of the present application, the target reward may refer to the reward to be distributed to the business personnel to be processed. Specifically, after receiving the second feedback information, the first server may determine whether there is an abnormality in the reward to be distributed according to the first feedback information, and determine the target reward of the business personnel to be processed according to the determination result.

[0126] In an embodiment of the present application, step 315 may be implemented through steps 315a to 315b.

[0127] Step 315a: If the second feedback information indicates that there is no abnormality in the reward to be distributed, the first server determines that the reward to be distributed is the target reward.

[0128] In an embodiment of the present application, as Figure 5 shown, if the second feedback information indicates that there is no abnormality in the reward to be distributed, it means that the reward to be distributed is correct. At this time, the performance system may directly determine that the reward to be distributed is the target reward, that is, determine that the reward to be distributed is the actual received reward of the business personnel to be processed.

[0129] Step 315b: If the second feedback information indicates that there is an abnormality in the reward to be distributed, the first server determines whether there is an abnormality in the second detection strategy, and verifies the target reward based on the determination result, the target correction information, the second detection strategy, and the reward to be distributed.

[0130] In an embodiment of the present application, as Figure 5 shown, if the second feedback information indicates that there is an abnormality in the reward to be distributed, here, the abnormality in the reward to be distributed may refer to the abnormality in the verification results of one or more verification items. At this time, it may be determined whether there is an abnormality in the second detection strategy, that is, determine whether there is an abnormality in the verification logic, etc., and determine the target reward according to the determination result.

[0131] Specifically, if it is determined that there is an abnormality in the second detection strategy, the second detection strategy may be corrected according to the target correction information. After that, the corrected second detection strategy is sent to the second server so that the second server verifies the reward to be distributed again according to the corrected second detection strategy until the target reward is obtained. It should be noted that it can be determined by humans whether there is an abnormality in the second detection strategy, and it can be corrected by humans according to the target correction process for the second detection strategy.

[0132] Correspondingly, as Figure 5As shown, if the second feedback information indicates that there is an abnormality in the reward to be issued, and it is determined that the second detection strategy is normal, the reward to be issued can be sent to the business personnel for manual inspection. If it is determined that the abnormality lies in the reward to be issued itself, the reward to be issued can be corrected through the performance system to obtain the actual received reward of the business personnel to be processed, that is, the target reward. It should be noted that the reward to be issued can be corrected manually.

[0133] In the embodiment of the present application, if it is determined that there is no abnormality in the reward to be issued, an instruction can also be sent to the second server to enable the second server to call the RPA tool to re-verify the reward to be issued.

[0134] In other embodiments of the present application, steps 316 to 318 can also be executed after step 315.

[0135] Step 316: The first server sends a third call request carrying the summary strategy and multiple target rewards to the second server.

[0136] In the embodiment of the present application, after obtaining the target rewards of multiple business personnel to be processed, a third call request carrying the summary strategy and multiple target rewards can be sent to the second server. Among them, the summary strategy can be a strategy for generating a budget report.

[0137] Step 317: The second server receives the third call request sent by the first server carrying the summary strategy and multiple target rewards, and calls the target process automation tool to determine the target collaboration system corresponding to the budget report generation task from multiple collaboration systems running on multiple third servers.

[0138] In the embodiment of the present application, after the second server receives the third call request, the RPA tool can determine the target collaboration system related to the budget report generation task from multiple collaboration systems according to the summary strategy carried in the third call request.

[0139] In a realizable manner, the target collaboration system related to the budget report generation task can include an office software system. Among them, office software is running on the office software system, such as: Word, Excel, etc.

[0140] Step 318: The second server calls the target process automation tool to access the third server to obtain a report generation template from the target collaboration system, and based on the summary strategy and the report generation template, performs a summary process on multiple target rewards to obtain a target report.

[0141] Among them, the multiple target rewards are determined by the first server based on the second feedback information and the reward to be issued.

[0142] In an embodiment of the present application, after receiving the third call request sent by the first server, the RPA tool can be called to remotely access the third server where the target collaboration system runs, so as to obtain the processing logic of the office software (such as Excel) and the report generation template with formulas from the office software system running on the third server. Then, according to the summary strategy, the processing logic and report generation template obtained from the office software system are used to summarize multiple rewards to be issued, and a budget report (i.e., the target report) is obtained. It should be noted that the target report can refer to a report in the.xls or.xlsx format.

[0143] In an embodiment of the present application, after the target report is generated, the target report can be sent to the first server. After receiving the target report, the first server can perform verification processing on the target report according to the preset rules. If the verification is correct, the reward verification task is completed, and the verified reward salary will be issued to the business personnel to be processed. If the verification is incorrect, it will be sent to the business personnel for manual verification.

[0144] In an embodiment of the present application, the performance system seamlessly connects to the collaboration system through the RPA tool (that is, without the other collaboration system developing and providing corresponding docking interfaces, and opening system permissions, etc.). During the whole process, the performance system and the collaboration system do not need to perform additional function development and interface docking, and can execute the corresponding reward verification task through the RPA tool. Compared with executing tasks through the backend of the performance system, the flexibility of executing tasks through the RPA tool is higher. Moreover, this architecture of the native system + RPA tool can effectively implement various complex logics with a small amount of development, and this architecture can decouple the functions that are prone to change in many systems from the main logic of the system, providing a basis for the system to achieve "building block" - style function assembly.

[0145] In an embodiment of the present application, the RPA tool is only an external component of the performance system. That is to say, complex business logics do not need to be developed and implemented in the RPA tool, nor are tasks driven by the workflow of the RPA tool itself. Instead, the business logics are stored in the system and passed to the RPA tool in the form of an interface after flexible configuration. At this time, the RPA tool will execute different tasks according to different configuration contents. In this way, some parameter adjustments can be directly configured in the system without modifying the code and releasing the version of the RPA tool. For the application scenario of the present invention, for example, by configuring the verification logic in the original performance system, the addition, modification, deletion, etc. of inspection items (RPA tasks) can be flexibly and efficiently realized. In this way, the development and maintenance costs of the RPA tool can be greatly reduced, and at the same time, the learning cost of using the RPA tool can also be reduced.

[0146] In the information determination method provided by the embodiments of the present application, the first server only needs to send a first call request carrying the task execution policy corresponding to the task to be processed to the second server, and the second server can then call the target process automation tool to automatically execute the reward verification task according to the task execution policy, rather than verifying the reward manually as in the related art, which solves the problems of poor verification efficiency and low accuracy of the reward salary in the process of verifying the reward salary in the related art.

[0147] Based on the foregoing embodiments, an embodiment of the present application provides an information determination device. Referring to Figure 6 as shown, the information determination device may include a first server 4. The processor may include a first processor 41, the memory may include a first memory 42, the communication bus may include a first communication bus 43, and the first server 4 may be applied to Figure 1 and 3 the information determination method provided by the corresponding embodiments, where:

[0148] The first communication bus 43 is used to implement the communication connection between the first processor 41 and the first memory 42;

[0149] The first processor 41 is used to execute the information determination program in the first memory 42 to implement the following steps:

[0150] Send a first call request carrying the task execution policy corresponding to the task to be processed to the second server;

[0151] Receive the first feedback information sent by the second server for the first call request. Among them, the first feedback information is determined based on the task execution policy and the basic information obtained from the target collaboration system corresponding to the task to be processed by calling the target process automation tool; the basic information is the information related to the task to be processed;

[0152] Determine the execution result of the task to be processed based on the first feedback information.

[0153] In other embodiments of the present application, the first processor 41 is used to execute the information determination program in the first memory 42 to implement the following steps:

[0154] Determine the business reward of the business personnel to be processed corresponding to the target detection task, and send the business reward to the second server; where the task to be processed includes the target detection task.

[0155] In other embodiments of the present application, the first processor 41 is used to execute the information determination program in the first memory 42 to determine the execution result of the task to be processed based on the first feedback information to implement the following steps:

[0156] Determine the target reward for the business personnel to be processed based on the first feedback information and the business reward; wherein, the first feedback information is determined by the first detection policy, the business reward, and the basic information of the second server; the task execution policy includes the first detection policy.

[0157] In other embodiments of the present application, the first processor 41 is configured to execute the information determination program in the first memory 42 to determine the target reward for the business personnel to be processed based on the first feedback information and the business reward, so as to implement the following steps:

[0158] Determine the reward to be issued based on the first feedback information and the business reward;

[0159] Send a second call request carrying the second detection policy and the reward to be issued to the second server, and receive the second feedback information sent by the second server for the second call request; wherein, the second detection policy is a policy related to the basic information of the business personnel to be processed and the business information of the business personnel to be processed;

[0160] Determine the target reward for the business personnel to be processed based on the second feedback information and the reward to be issued.

[0161] In other embodiments of the present application, the first processor 41 is configured to execute the information determination program in the first memory 42 to determine the target reward for the business personnel to be processed based on the second feedback information and the reward to be issued, so as to implement the following steps:

[0162] If the second feedback information indicates that the reward to be issued is normal, determine that the reward to be issued is the target reward;

[0163] If the second feedback information indicates that the reward to be issued is abnormal, determine whether the second detection policy is abnormal, and determine the target reward based on the determination result, the target correction information, the second detection policy, and the reward to be issued.

[0164] In other embodiments of the present application, the first processor 41 is configured to execute the information determination program in the first memory 42 to implement the following steps:

[0165] Send a third call request carrying the summary policy and multiple target rewards to the second server.

[0166] It should be noted that the specific description of the steps executed by the first processor 41 can be referred to Figure 1 and 3 the information determination method provided in the corresponding embodiments, which will not be elaborated here.

[0167] The first server provided by the embodiments of the present application only needs to send the task execution policy to the second server, and the second server will then call the target process automation tool to automatically execute the task to be processed according to the task execution policy, rather than having the task to be processed executed manually as in the related art, solving the problems of poor verification efficiency and low accuracy of the reward salary in the process of verifying the reward salary in the related art.

[0168] Based on the foregoing embodiments, the embodiments of the present application provide another information determination device. The information determination device may include a processor, a memory, and a communication bus. Referring to Figure 7 as shown, the information determination device may further include a second server 5. The processor may further include a second processor 51. The memory may further include a second memory 52. The communication bus may further include a second communication bus 53. And the second server 5 may be applied to Figure 2 and Figure 3 the information determination method provided in the corresponding embodiments. Among them,

[0169] The second communication bus 53 is used to implement the communication connection between the second processor 51 and the second memory 52;

[0170] The second processor 51 is used to execute the information determination program in the second memory 52 to implement the following steps:

[0171] Receive a first call request sent by the first server; wherein, the first call request carries the task execution policy corresponding to the task to be processed;

[0172] In response to the first call request, call the target process automation tool to obtain basic information related to the task to be processed from the target collaboration system corresponding to the task to be processed;

[0173] Determine the first feedback information based on the task execution policy and the basic information;

[0174] Send the first feedback information to the first server so that the first server determines the execution result of the task to be processed based on the first feedback information.

[0175] In other embodiments of the present application, the second processor 51 is used to execute the information determination program in the second memory 52 to implement the following steps:

[0176] Receive the business reward of the to-be-processed business personnel corresponding to the target detection task sent by the first server; wherein, the task to be processed includes the target detection task.

[0177] In other embodiments of the present application, the second processor 51 is used to execute the information determination program in the second memory 52 to determine the first feedback information based on the task execution policy and the basic information to implement the following steps:

[0178] Invoke the target process automation tool to determine multiple pieces of information to be detected corresponding to the first detection strategy based on business rewards, the target business information of the to-be-processed business personnel, and target rules; wherein, the basic information includes the target business information and the target rules; the task execution strategy includes the first detection strategy; the first detection strategy is a strategy related to the target rule for determining business rewards.

[0179] Invoke the target process automation tool to perform verification processing on the multiple pieces of information to be detected according to the first detection strategy, and obtain the first feedback information.

[0180] In other embodiments of the present application, the second processor 51 is used to execute the information determination program in the second memory 52 to implement the following steps:

[0181] Receive a second call request sent by the first server; wherein, the second call request carries the second detection strategy and the to-be-issued reward; the to-be-issued reward is determined by the first server based on the first feedback information and the business reward.

[0182] Invoke the target process automation tool to perform verification processing on the to-be-issued reward based on the second detection strategy, obtain the second feedback information, and send the second feedback information to the first server.

[0183] In other embodiments of the present application, the second processor 51 is used to execute the information determination program in the second memory 52 to implement the following steps:

[0184] Receive a third call request sent by the first server carrying the summary strategy and multiple target rewards, and invoke the target process automation tool to perform summary processing on the multiple target rewards based on the summary strategy to obtain a target report; wherein, the multiple target rewards are determined by the first server based on the second feedback information and the to-be-issued reward.

[0185] It should be noted that the specific description of the steps executed by the second processor 51 can be referred to Figure 2 and 3 the information determination method provided in the corresponding embodiments, and will not be elaborated here.

[0186] The second server provided by the embodiments of the present application, after receiving the task execution strategy, can invoke the target process automation tool to automatically execute the to-be-processed task according to the task execution strategy, rather than being executed manually as in the related art, which solves the problems of poor verification efficiency and low accuracy of the reward salary in the process of verifying the reward salary in the related art.

[0187] Based on the foregoing embodiments, the embodiments of the present application provide a first information determination device, which can be applied to Figure 1 and3 In the information determination method provided by the corresponding embodiment, with reference to Figure 8 As shown, the first information determination device 6 may include: a first sending unit 61, a first receiving unit 62, and a first determining unit 63, where:

[0188] The first sending unit 61 is configured to send a first call request carrying a task execution policy corresponding to a to-be-processed task to a second server;

[0189] The first receiving unit 62 is configured to receive first feedback information sent by the second server for the first call request; wherein, the first feedback information is determined based on the task execution policy and by invoking a target process automation tool to obtain basic information from a target collaboration system corresponding to the to-be-processed task; the basic information is information related to the to-be-processed task;

[0190] The first determining unit 63 is configured to determine an execution result of the to-be-processed task based on the first feedback information.

[0191] In other embodiments of the present application, the first determining unit 63 is further configured to perform the following steps:

[0192] Determine a business reward for a to-be-processed business person corresponding to a target detection task, and send the business reward to the second server; wherein, the to-be-processed task includes a target detection task.

[0193] In other embodiments of the present application, the first determining unit 63 is further configured to perform the following steps:

[0194] Based on the first feedback information and the business reward, determine a target reward for the to-be-processed business person; wherein, the first feedback information is determined by the second server based on a first detection strategy, the business reward, and the basic information; the task execution policy includes the first detection strategy.

[0195] In other embodiments of the present application, the first determining unit 63 is further configured to perform the following steps:

[0196] Based on the first feedback information and the business reward, determine a to-be-issued reward;

[0197] Send a second call request carrying a second detection strategy and the to-be-issued reward to the second server, and receive second feedback information sent by the second server for the second call request; wherein, the second detection strategy is a strategy related to the basic information and business information of the to-be-processed business person;

[0198] Based on the second feedback information and the to-be-issued reward, determine a target reward for the to-be-processed business person.

[0199] In other embodiments of the present application, the first determining unit 63 is further configured to perform the following steps:

[0200] If the second feedback information indicates that there is no abnormality in the reward to be issued, determine the reward to be issued as the target reward;

[0201] If the second feedback information indicates that there is an abnormality in the reward to be issued, determine whether there is an abnormality in the second detection strategy, and determine the target reward based on the determination result, the target correction information, the second detection strategy, and the reward to be issued.

[0202] In other embodiments of the present application, the first determination unit 63 is further configured to perform the following steps:

[0203] Send a third call request carrying the summary strategy and multiple target rewards to the second server.

[0204] It should be noted that for the specific implementation process of the steps executed by each unit in the embodiments of the present application, reference may be made to Figure 1 and 3 the implementation process in the information determination method provided in the corresponding embodiments, which will not be elaborated here.

[0205] The first information determination device provided in the embodiments of the present application only needs to send the task execution strategy to the second server, and the second server will then call the target process automation tool to automatically execute the task to be processed according to the task execution strategy, rather than having the task to be processed executed manually as in the related art, solving the problems of poor verification efficiency and low accuracy of the reward salary in the process of verifying the reward salary in the related art.

[0206] Based on the foregoing embodiments, the embodiments of the present application provide a second information determination device, which can be applied to Figure 2 and Figure 3 the information determination method provided in the corresponding embodiments. As shown in Figure 9 the second information determination device 7 may include: a second receiving unit 71, a processing unit 72, a second determination unit 73, and a second sending unit 74, where:

[0207] The second receiving unit 71 is configured to receive a first call request sent by the first server; wherein, the first call request carries the task execution strategy corresponding to the task to be processed;

[0208] The processing unit 72 is configured to respond to the first call request and call the target process automation tool to obtain basic information related to the task to be processed from the target collaboration system corresponding to the task to be processed;

[0209] The second determination unit 73 is configured to determine the first feedback information based on the task execution strategy and the basic information;

[0210] A second sending unit 74, configured to send first feedback information to a first server, so that the first server determines an execution result of a to-be-processed task based on the first feedback information.

[0211] In other embodiments of this application, the second receiving unit 71 is further configured to perform the following steps:

[0212] Receive a business reward of a to-be-processed business person corresponding to a target detection task sent by the first server; where the to-be-processed task includes a target detection task.

[0213] In other embodiments of this application, the second determination unit 73 is further configured to perform the following steps:

[0214] Invoke a target process automation tool, and determine multiple to-be-detected information corresponding to a first detection strategy based on the business reward, target business information of the to-be-processed business person, and target rules; where the basic information includes the target business information and the target rules; the task execution strategy includes the first detection strategy; the first detection strategy is a strategy related to the target rule used to determine the business reward;

[0215] Invoke a target process automation tool, and perform verification processing on the multiple to-be-detected information according to the first detection strategy to obtain first feedback information.

[0216] In other embodiments of this application, the processing unit 72 is further configured to perform the following steps:

[0217] Receive a second invocation request sent by the first server; where the second invocation request carries a second detection strategy and a to-be-distributed reward; the to-be-distributed reward is determined by the first server based on the first feedback information and the business reward;

[0218] Invoke a target process automation tool, perform verification processing on the to-be-distributed reward based on the second detection strategy to obtain second feedback information, and send the second feedback information to the first server.

[0219] In other embodiments of this application, the processing unit 72 is further configured to perform the following steps:

[0220] Receive a third invocation request sent by the first server carrying a summarization strategy and multiple target rewards, and invoke a target process automation tool to perform summarization processing on the multiple target rewards based on the summarization strategy to obtain a target report; where the multiple target rewards are determined by the first server based on the second feedback information and the to-be-distributed reward.

[0221] It should be noted that for the specific implementation process of the steps executed by each unit in the embodiments of this application, reference may be made to Figure 2 and 3 the implementation process in the information determination method provided in the corresponding embodiments, which will not be elaborated here.

[0222] After receiving the task execution policy, the second information determination device provided by the embodiment of the present application can call the target process automation tool to automatically execute the to-be-processed task according to the task execution policy, instead of manually executing the to-be-processed task as in the related art, which solves the problems of poor verification efficiency and low accuracy of the reward salary in the process of verifying the reward salary in the related art.

[0223] Based on the foregoing embodiments, the embodiment of the present application provides a computer-readable storage medium storing one or more programs, which can be executed by one or more processors to implement Figures 1 - 3 the steps in the information determination method provided by the corresponding embodiment.

[0224] Based on the foregoing embodiments, the embodiment of the present application provides a computer program product including a computer program that implements Figures 1 - 3 the steps of the information determination method provided by the corresponding embodiment when executed by a processor.

[0225] It should be noted that the above computer-readable storage medium may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), a ferromagnetic random access memory (FRAM), a flash

[0226] memory, a magnetic surface memory, an optical disc, or a compact disc read-only

[0227] memory (CD-ROM), etc.; it may also be various electronic devices including one or any combination of the above memories, such as mobile phones, computers, tablet devices, personal digital assistants, etc.

[0228] It should be noted that in this text, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, such that a process, method, article or device comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, article or device comprising that element.

[0229] The serial numbers of the embodiments of the present application above are for description only and do not represent the superiority or inferiority of the embodiments.

[0230] Through the description of the above embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus a necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions for causing a terminal device (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of the present application.

[0231] This application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products of the embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram, and the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing device to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing device generate a device for implementing the specified functions in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0232] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including an instruction device that implements the specified functions in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0233] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus, so that a series of operation steps are performed on the computer or other programmable apparatus to produce a computer-implemented process, thereby providing instructions for implementing the process Figure 1 in one process or multiple processes and / or blocks Figure 1 steps of the functions specified in one block or multiple blocks.

[0234] The above are only the preferred embodiments of the present application, and do not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made by using the content of the specification and drawings of the present application, or directly or indirectly applied in other related technical fields, shall be equally included in the patent protection scope of the present application.

Claims

1. A method for determining information, characterized in that: The method is applied to a first server, and the method includes: Sending a first call request carrying a task execution strategy corresponding to the task to be processed to the second server; Receiving first feedback information for the first call request sent by the second server; wherein the first feedback information is determined based on the task execution strategy and basic information obtained by calling the target process automation tool from the target collaborative system corresponding to the task to be processed; the basic information is information related to the task to be processed; The execution result of the task to be processed is determined based on the first feedback information.

2. The method according to claim 1, characterized in that The method further comprises: Determine a business reward for a pending business person corresponding to the target detection task, and send the business reward to the second server; wherein the pending task includes the target detection task; Accordingly, determining the execution result of the task to be processed based on the first feedback information includes: Based on the first feedback information and the business reward, determine the target reward for the business personnel to be processed; wherein the first feedback information is determined by the second server based on the first detection strategy, the business reward and the basic information; and the task execution strategy includes the first detection strategy.

3. The method according to claim 2, characterized in that The determining, based on the first feedback information and the business reward, a target reward for the business personnel to be processed includes: Determining a reward to be issued based on the first feedback information and the business reward; Sending a second call request carrying a second detection strategy and the reward to be issued to the second server, and receiving second feedback information sent by the second server for the second call request; wherein the second detection strategy is a strategy related to the basic information of the business personnel to be processed and the business information of the business personnel to be processed; Based on the second feedback information and the reward to be issued, a target reward for the business personnel to be processed is determined.

4. The method according to claim 3, characterized in that The determining, based on the second feedback information and the reward to be issued, a target reward for the business personnel to be processed, includes: If the second feedback information indicates that there is no abnormality in the reward to be issued, determining that the reward to be issued is the target reward; If the second feedback information indicates that the reward to be issued is abnormal, determine whether the second detection strategy is abnormal, and determine the target reward based on the determination result, the target correction information, the second detection strategy, and the reward to be issued; Accordingly, the method further includes: Sending a third call request carrying the summary strategy and the plurality of target rewards to the second server.

5. A method for determining information, characterized in that: The method is applied to the second server, and the method includes: Receive a first call request sent by a first server; wherein the first call request carries a task execution strategy corresponding to the task to be processed; In response to the first call request, calling a target process automation tool to obtain basic information related to the task to be processed from a target collaborative system corresponding to the task to be processed; Determine first feedback information based on the task execution strategy and the basic information; The first feedback information is sent to the first server, so that the first server determines an execution result of the task to be processed based on the first feedback information.

6. The method according to claim 5, characterized in that The method further comprises: Receiving a business reward for a pending business personnel corresponding to a target detection task sent by the first server; wherein the pending task includes the target detection task; Accordingly, determining the first feedback information based on the task execution strategy and the basic information includes: Calling the target process automation tool, based on the target business information and target rules of the business personnel to be processed, determining a plurality of to-be-detected information corresponding to a first detection strategy; wherein the basic information includes the target business information and the target rules; the task execution strategy includes the first detection strategy; the first detection strategy is a strategy related to the target rules for determining the business reward; The target process automation tool is called, and based on the business reward, the plurality of information to be detected is verified and processed according to the first detection strategy to obtain the first feedback information.

7. The method according to claim 6, characterized in that The method further comprises: receiving a second call request sent by the first server; wherein the second call request carries a second detection strategy and a reward to be issued; the reward to be issued is determined by the first server based on the first feedback information and the business reward; calling the target process automation tool, verifying the reward to be issued based on the second detection strategy, obtaining second feedback information, and sending the second feedback information to the first server; Accordingly, the method further includes: Receive a third call request sent by the first server, which carries a summary strategy and multiple target rewards, and call the target process automation tool to summarize the multiple target rewards based on the summary strategy to obtain a target report; wherein the multiple target rewards are determined by the first server based on the second feedback information and the rewards to be issued.

8. An information determination device, characterized in that: The device comprises: a processor, a memory and a communication bus; The communication bus is used to realize the communication connection between the processor and the memory; The processor is used to execute the information determination program stored in the memory to implement the steps of the information determination method according to any one of claims 1 to 7.

9. A computer-readable storage medium, characterized in that: The storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the steps of the information determination method according to any one of claims 1 to 7.

10. A computer program product, comprising a computer program, characterized in that: When the computer program is executed by a processor, the computer program implements the steps of the information determination method according to any one of claims 1 to 7.

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