Salary management system based on automatic AI piece counting and salary counting

Abstract

The invention relates to the technical field of human resource management, in particular to a salary management system based on automatic operation AI piece and salary calculation, which comprises a data acquisition module, a communication module, a data processing module, a salary calculation module, an intelligent auditing module, an adjusting module, a report generation module, a feedback module, a client and a database, the data processing module is connected with the data acquisition module through the communication module, the salary calculation module is connected with the data processing module and the database, the intelligent auditing module is connected with the salary calculation module, the adjusting module is connected with the intelligent auditing module, and the report generation module is connected with the adjusting module. The feedback module is connected with the report generation module and the client; in this way, the technical problems that in the prior art, a piece and salary counting mode depends on manual recording, statistics and calculation, time and labor are consumed, errors are prone to occurring, and timeliness and accuracy of salary payment of employees are affected are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of human resource management, and in particular to a salary management system based on automatic AI piecework salary calculation. Background Art

[0002] There are many different remuneration systems for enterprises or employers, including monthly salary system, annual salary system, time-based system and piece-rate system. Among them, in many enterprises or employers, employees are paid on a piece-rate basis. This remuneration system can directly reflect the workload and work efficiency of employees and motivate employees to work harder and get more. Piece-rate remuneration is also called piece-rate remuneration or piece-rate remuneration payment. It is a form of remuneration payment that calculates remuneration according to the number of qualified products produced by employees or the amount of work completed, and according to the pre-determined piece-rate unit price.

[0003] However, the traditional piece-rate wage method relies on manual recording, statistics and calculations, which is not only time-consuming and labor-intensive, but also prone to errors, affecting the timeliness and accuracy of employee salary payment. Summary of the invention

[0004] The purpose of the present invention is to provide a salary management system based on automatic AI piece-rate wage calculation, aiming to solve the technical problem that the piece-rate wage calculation method in the prior art relies on manual recording, statistics and calculation, which is not only time-consuming and labor-intensive, but also prone to errors, affecting the timeliness and accuracy of employee salary payment.

[0005] To achieve the above-mentioned purpose, the present invention adopts a salary management system based on automatic AI piecework salary calculation, including a data acquisition module, a communication module, a data processing module, a salary calculation module, an intelligent audit module, an adjustment module, a report generation module, a feedback module, a client and a database, wherein the data processing module is connected to the data acquisition module through the communication module, the salary calculation module is connected to the data processing module and the database, the intelligent audit module is connected to the salary calculation module, the adjustment module is connected to the intelligent audit module, the report generation module is connected to the adjustment module, and the feedback module is connected to the report generation module and the client;

[0006] The data acquisition module is used to collect the workload data and personal information of the workers and transmit them to the data processing module through the communication module;

[0007] The data processing module is used to pre-process the received data and then transmit it to the salary calculation module. After receiving the data, the salary calculation module calculates the salary according to the piecework rules in the database;

[0008] The intelligent audit module is used to audit whether the salary calculated by the salary calculation module is abnormal, and provide an adjustment plan through the adjustment module;

[0009] The report generation module generates a salary report based on the calculated salary and adjustment plan, and feeds back the report to the client through the feedback module.

[0010] Among them, the salary management system based on automatic AI piece-rate wage calculation also includes a compression module and a storage module, the storage module is connected to the report generation module, and the compression module is connected to the storage module.

[0011] Among them, the salary management system based on automatic AI piece-rate wage calculation also includes a self-service query module, a login module and an identity authentication module. The self-service query module is connected to the storage module, the login module is connected to the self-service query module, and the identity authentication module is connected to the login module.

[0012] The self-service query module includes an identity recognition unit and a report acquisition unit. The identity recognition unit is connected to the login module, and the report acquisition unit is connected to the identity recognition unit and the storage module.

[0013] Among them, the salary management system that automatically runs AI piece-rate wage calculation also includes a statistical module, a preset module, a monitoring module and a prompt module. The statistical module is connected to the report generation module, the monitoring module is connected to the statistical module, the preset module is connected to the monitoring module, and the prompt module is connected to the monitoring module.

[0014] Among them, the salary management system based on automatic AI piece-rate salary calculation also includes a tax processing module, and the tax processing module is implanted in the salary calculation module.

[0015] Among them, the salary management system based on automatic AI piece-rate wage calculation also includes an audit and inspection module, and the audit and inspection module is connected to the feedback module.

[0016] The present invention discloses a salary management system based on automatic AI piece-rate salary calculation. When used specifically, the data acquisition module is connected to the enterprise production system, attendance system, etc. The data acquisition module automatically collects employees' workload data (such as the number of completed products, task progress) and personal information (such as working hours, overtime), and transmits the data to the data processing module through the communication module. The data processing module pre-processes the received data and transmits it to the salary calculation module. After receiving the data, the salary calculation module calculates the salary according to the piece-rate rules in the database. The intelligent audit module automatically identifies potential salary calculation errors or non-compliance situations through the AI ​​algorithm, such as overtime work, piece-rate anomalies, etc., and audits whether the salary calculated by the salary calculation module is abnormal, and provides an adjustment plan through the adjustment module. The report generation module generates a salary report based on the calculated salary and the adjustment plan, and feeds back to the client of the finance department through the feedback module. In this way, the technical problem that the piece-rate salary calculation method in the prior art relies on manual recording, statistics and calculation, which is not only time-consuming and labor-intensive, but also prone to errors, affecting the timeliness and accuracy of employee salary payment is solved. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 It is a principle block diagram of the first embodiment of the present invention.

[0019] Figure 2 It is a principle block diagram of the second embodiment of the present invention.

[0020] Figure 3 It is a principle block diagram of the third embodiment of the present invention.

[0021] 101-data acquisition module, 102-communication module, 103-data processing module, 104-salary calculation module, 105-intelligent audit module, 106-adjustment module, 107-report generation module, 108-feedback module, 109-client, 110-database, 111-compression module, 112-storage module, 113-self-service query module, 114-login module, 115-identity authentication module, 116-identity recognition unit, 117-report acquisition unit, 201-statistics module, 202-preset module, 203-monitoring module, 204-prompt module, 205-tax processing module, 206-audit inspection module, 301-management module, 302-operation status monitoring module, 303-automatic recovery module. DETAILED DESCRIPTION

[0022] Embodiments of the present invention are described in detail below. Examples of the embodiments are shown in the accompanying drawings. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, but should not be construed as limiting the present invention.

[0023] See also Figure 1 , Figure 1 It is a principle block diagram of the first embodiment of the present invention.

[0024] The present invention provides a salary management system based on automatic AI piece-rate salary calculation, comprising a data collection module 101, a communication module 102, a data processing module 103, a salary calculation module 104, an intelligent audit module 105, an adjustment module 106, a report generation module 107, a feedback module 108, a client 109, a database 110, a compression module 111, a storage module 112, a self-service query module 113, a login module 114 and an identity authentication module 115, wherein the self-service query module 113 comprises an identity recognition unit 116 and a report acquisition unit 117. The above-mentioned scheme solves the technical problem that the piece-rate salary calculation method in the prior art relies on manual recording, statistics and calculation, which is not only time-consuming and labor-intensive, but also prone to errors, thus affecting the timeliness and accuracy of employee salary payment.

[0025] For this specific implementation, the data acquisition module 101 is used to collect the workload data and personal information of the workers, and transmit them to the data processing module 103 through the communication module 102;

[0026] The data processing module 103 is used to pre-process the received data and transmit it to the salary calculation module 104. After receiving the data, the salary calculation module 104 calculates the salary according to the piecework rules in the database 110;

[0027] The intelligent audit module 105 is used to audit whether the salary calculated by the salary calculation module 104 is abnormal, and provide an adjustment plan through the adjustment module 106;

[0028] The report generation module 107 generates a salary report based on the calculated salary and adjustment plan, and feeds back the report to the client 109 through the feedback module 108 .

[0029] The data processing module 103 is connected to the data collection module 101 through the communication module 102, the salary calculation module 104 is connected to the data processing module 103 and the database 110, the intelligent audit module 105 is connected to the salary calculation module 104, the adjustment module 106 is connected to the intelligent audit module 105, the report generation module 107 is connected to the adjustment module 106, and the feedback module 108 is connected to the report generation module 107 and the client 109. When used, the data collection module 101 is connected to the enterprise production system, attendance system, etc. The data collection module 101 automatically collects employees' workload data (such as the number of completed products, task progress) and personal information (such as working hours, overtime), and transmits the data to the data processing module 103 through the communication module 102. The data processing module 103 pre-processes the received data and transmits it to the salary calculation module 104. After receiving the data, the salary calculation module 104 calculates the salary according to the piece-rate rules in the database 110. The intelligent audit module 105 automatically identifies potential salary calculation errors or non-compliance situations through AI algorithms, such as overtime work, piece-rate anomalies, etc., and audits whether the salary calculated by the salary calculation module 104 is abnormal, and provides an adjustment plan through the adjustment module 106. The report generation module 107 generates a salary report based on the calculated salary and the adjustment plan, and feeds back to the client 109 of the finance department through the feedback module 108. In this way, the technical problem that the piece-rate salary calculation method in the prior art relies on manual recording, statistics and calculation, which is not only time-consuming and labor-intensive, but also prone to errors, affecting the timeliness and accuracy of employee salary payment is solved.

[0030] Secondly, the storage module 112 is connected to the report generation module 107, and the compression module 111 is connected to the storage module 112. The storage module 112 is used to store the salary report generated by the report generation module 107, and the compression module 111 is used to compress the stored files to increase the storage space.

[0031] At the same time, the self-service query module 113 is connected to the storage module 112, the login module 114 is connected to the self-service query module 113, and the identity authentication module 115 is connected to the login module 114. Employees can log in to the self-service query module 113 through the login module 114 to query their own salary reports, and the identity authentication module 115 is used to authenticate the employees who log in to the login module 114.

[0032] In addition, the identity recognition unit 116 is connected to the login module 114, and the report acquisition unit 117 is connected to the identity recognition unit 116 and the storage module 112. First, the identity recognition unit 116 recognizes the employee's identity information, and the report acquisition unit 117 obtains the employee's salary report from the storage module 112 based on the employee's identity information.

[0033] Using a salary management system based on automatic AI piecework salary calculation in this embodiment, when in use, the data acquisition module 101 is connected to the enterprise production system, attendance system, etc., and the data acquisition module 101 automatically collects employees' workload data (such as the number of completed products, task progress) and personal information (such as working hours, overtime), and transmits the data to the data processing module 103 through the communication module 102. The data processing module 103 pre-processes the received data and transmits it to the salary calculation module 104. After receiving the data, the salary calculation module 104 calculates the salary according to the piecework rules in the database 110. The intelligent audit module 105 automatically identifies potential salary calculation errors or non-compliance situations, such as overtime work, piecework abnormalities, etc., through an AI algorithm, and audits whether the salary calculated by the salary calculation module 104 is abnormal, and provides an adjustment plan through the adjustment module 106. The report generation module 107 generates a salary report based on the calculated salary and the adjustment plan, and feeds back to the client 109 of the finance department through the feedback module 108. In this way, the technical problem that the piecework wage calculation method in the prior art relies on manual recording, statistics and calculation, which is not only time-consuming and labor-intensive, but also prone to errors, affecting the timeliness and accuracy of employee salary payment is solved.

[0034] The second embodiment of the present application is:

[0035] Based on the first embodiment, please refer to Figure 2 , Figure 2 It is a principle block diagram of the second embodiment of the present invention.

[0036] The present invention provides a salary management system based on automatic AI piece-rate salary calculation, which also includes a statistics module 201, a preset module 202, a monitoring module 203, a prompt module 204, a tax processing module 205 and an audit inspection module 206.

[0037] With respect to this specific implementation, the statistical module 201 is connected to the report generating module 107, the monitoring module 203 is connected to the statistical module 201, the preset module 202 is connected to the monitoring module 203, and the prompt module 204 is connected to the monitoring module 203. When it is used specifically, the preset module 202 first presets the salary expenditure threshold in the monitoring module 203, and then the statistical module 201 counts the salary required to be spent according to the report generating module 107. When the counted salary exceeds the threshold, the prompt module 204 prompts the person in charge.

[0038] The tax processing module 205 is embedded in the salary calculation module 104, and is used to process salary-related tax issues, such as calculating individual income tax, declaring and paying the tax, etc.

[0039] Secondly, the audit and inspection module 206 is connected to the feedback module 108, and the audit and inspection module 206 is used to audit and check the compliance of the salary data to ensure the accuracy and legality of the salary calculation.

[0040] When using a salary management system based on automatic AI piecework salary calculation according to the present embodiment, firstly, the salary expenditure threshold is preset in the monitoring module 203 through the preset module 202, and then the statistical module 201 counts the required salary expenditure according to the report generation module 107. When the counted salary exceeds the threshold, the person in charge is prompted through the prompt module 204. The tax processing module 205 is used to handle tax issues related to salary, such as calculating personal income tax, declaring and paying it, etc. The audit and inspection module 206 is used to audit and check the compliance of salary data to ensure the accuracy and legality of salary calculation.

[0041] The third embodiment of the present application is:

[0042] Based on the second embodiment, please refer to Figure 3 , Figure 3 It is a principle block diagram of the second embodiment of the present invention.

[0043] The present invention provides a salary management system based on automatic AI piece-rate salary calculation, which also includes a management module 301, an operation status monitoring module 302 and an automatic recovery module 303.

[0044] According to this specific implementation, the management module 301 is connected to the database 110 , and the management personnel manage the salary calculation rules in the database 110 through the management module 301 .

[0045] Among them, the operation status monitoring module 302 is connected to the data processing module 103, and the automatic recovery module 303 is connected to the operation status monitoring module 302. The operation status of the data processing module 103 is monitored by the operation status monitoring module 302, and when an abnormality occurs, the operation is restored by the automatic recovery module 303.

[0046] Using a salary management system based on automatic AI piece-rate wage calculation in this embodiment, the manager manages the wage calculation rules in the database 110 through the management module 301, monitors the operation status of the data processing module 103 through the operation status monitoring module 302, and resumes operation through the automatic recovery module 303 when an abnormality occurs.

[0047] What is disclosed above is only a preferred embodiment of the present invention, and it certainly cannot be used to limit the scope of rights of the present invention. Ordinary technicians in this field can understand that all or part of the processes of the above embodiment and equivalent changes made according to the claims of the present invention still fall within the scope of the invention.

Claims

1. A salary management system based on automatic AI piece-rate salary calculation, characterized in that: It includes a data acquisition module, a communication module, a data processing module, a salary calculation module, an intelligent audit module, an adjustment module, a report generation module, a feedback module, a client and a database. The data processing module is connected to the data acquisition module through the communication module, the salary calculation module is connected to the data processing module and the database, the intelligent audit module is connected to the salary calculation module, the adjustment module is connected to the intelligent audit module, the report generation module is connected to the adjustment module, and the feedback module is connected to the report generation module and the client; The data acquisition module is used to collect the workload data and personal information of the workers and transmit them to the data processing module through the communication module; The data processing module is used to pre-process the received data and then transmit it to the salary calculation module. After receiving the data, the salary calculation module calculates the salary according to the piecework rules in the database; The intelligent audit module is used to audit whether the salary calculated by the salary calculation module is abnormal, and provide an adjustment plan through the adjustment module; The report generation module generates a salary report based on the calculated salary and adjustment plan, and feeds back the report to the client through the feedback module.

2. The salary management system based on automatic AI piecework salary calculation as claimed in claim 1, characterized in that: The salary management system based on automatic AI piece-rate salary calculation also includes a compression module and a storage module. The storage module is connected to the report generation module, and the compression module is connected to the storage module.

3. The salary management system based on automatic AI piecework salary calculation as claimed in claim 2, characterized in that: The salary management system based on automatic AI piece-rate salary calculation also includes a self-service query module, a login module and an identity authentication module. The self-service query module is connected to the storage module, the login module is connected to the self-service query module, and the identity authentication module is connected to the login module.

4. The salary management system based on automatic AI piecework salary calculation as claimed in claim 3, characterized in that: The self-service query module includes an identity recognition unit and a report acquisition unit. The identity recognition unit is connected to the login module, and the report acquisition unit is connected to the identity recognition unit and the storage module.

5. The salary management system based on automatic AI piecework salary calculation as claimed in claim 4, characterized in that: The salary management system that automatically runs AI piece-rate salary calculation also includes a statistical module, a preset module, a monitoring module and a prompt module. The statistical module is connected to the report generation module, the monitoring module is connected to the statistical module, the preset module is connected to the monitoring module, and the prompt module is connected to the monitoring module.

6. The salary management system based on automatic AI piecework salary calculation as claimed in claim 5, characterized in that: The salary management system based on automatic AI piece-rate salary calculation also includes a tax processing module, which is embedded in the salary calculation module.

7. The salary management system based on automatic AI piecework salary calculation as claimed in claim 6, characterized in that: The salary management system based on automatic AI piece-rate salary calculation also includes an audit and inspection module, which is connected to the feedback module.

Images