Employee behavior analysis and attendance optimization system

Abstract

The invention provides an employee behavior analysis and attendance optimization system, and relates to the technical field of enterprise management, and the system comprises an employee attendance management platform which is used for receiving and storing work data and attendance data of employees; respectively performing work efficiency analysis and attendance analysis on the work data and the attendance data of the employees to obtain a work efficiency value and an attendance value; performing fusion processing on the work efficiency value and the attendance value of the employee to obtain an employee preferential value; marking the work efficiency values, the attendance values and the preferential values of the employees as behavior analysis results; and performing optimization management on the attendance process according to a behavior analysis result. The employee attendance management platform monitors the work performance and attendance conditions of employees in real time, so that the employees can flexibly adjust the work time according to the individual priorities and preferential values, the attendance time is dynamically adjusted, the employees can better balance the work and life, the work satisfaction of the employees is improved, and the work efficiency of the employees is improved. Therefore, the belonging sense and loyalty of the employees to the enterprise and the working efficiency are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of enterprise management, and in particular to an employee behavior analysis and attendance optimization system. Background Art

[0002] As the scale of enterprises continues to expand and market competition becomes increasingly fierce, enterprises have an increasingly urgent need to improve management efficiency and employee work quality. In today's fiercely competitive corporate management field, accurately evaluating employee performance and properly optimizing attendance processes are of irreplaceable importance in improving organizational efficiency and employee satisfaction. However, with the development of the times, modern employees are paying more and more attention to the balance between work and life.

[0003] In this context, the traditional fixed attendance system gradually shows its limitations, and it may be difficult to flexibly adapt to the special needs of various positions and employees. This situation leads to the lack of personalized preferential treatment and incentives based on the specific circumstances of each employee in the management process. Therefore, it is necessary to provide an employee behavior analysis and attendance optimization system to solve the above technical problems. Summary of the invention

[0004] The present invention provides an employee behavior analysis and attendance optimization system, which solves the problem of lack of personalized preferential treatment and incentive measures based on the specific circumstances of employees.

[0005] In order to solve the above technical problems, the employee behavior analysis and attendance optimization system provided by the present invention includes: The employee behavior acquisition module is used to obtain the employee's work data; the work data includes the assignment time and completion time of the task, the output and input of the task, and the completion amount of the task; The attendance acquisition module is used to obtain employees' attendance data; attendance data includes get off work and leave time, leave records, and overtime hours; Data aggregation module, used to send employees’ work data and attendance data to the employee management platform; The employee attendance management platform is used to receive and store employees' work data and attendance data; perform work efficiency analysis and attendance analysis on employees' work data and attendance data respectively to obtain work efficiency values ​​and attendance values; integrate employees' work efficiency values ​​and attendance values ​​to obtain employee preferential values; mark employees' work efficiency values, attendance values ​​and preferential values ​​as behavioral analysis results; and optimize the attendance process based on the behavioral analysis results.

[0006] Preferably, the employee behavior acquisition module and the attendance acquisition module both include a plurality of sensors and data collectors for collecting work data and attendance data, and the sensors and data collectors are distributed in the employee's working environment.

[0007] Preferably, the employee attendance management platform includes a data storage module, a work efficiency analysis module, an attendance analysis module and an attendance management module; Data storage module, used to store employees' work data and attendance data; The ergonomics analysis module is used to analyze the work data of employees and obtain the execution time, achievement value and completion amount of working time; normalize the execution time, achievement value and completion amount of working time and use the formula to obtain the ergonomics value; The attendance analysis module is used to analyze the attendance data of employees to obtain daily values, leave values ​​and overtime values; normalize the daily values, leave values ​​and overtime values ​​to obtain the attendance values; The fusion module is used to fuse the employee's work efficiency value and attendance value to obtain the employee's preferential treatment value; the employee's work efficiency value, attendance value and preferential treatment value are marked as behavior analysis results; The attendance management module is used to optimize the attendance process based on the results of behavioral analysis.

[0008] As a preferred method, the attendance process is optimized and managed according to the behavior analysis results. The specific steps are as follows: S1: Obtain the employee preferential values ​​of employees in each department of the enterprise, arrange them in order of size to generate an attendance preferential list, and add the attendance adjustment priority in order; S2: Select the employees with the lowest priority for attendance adjustment as employees without preferential treatment; S3: Sum up the work efficiency values ​​of all employees without preferential treatment to obtain the department operation value; S4: Set the operation demand threshold of each department in the enterprise, compare the department operation value with its operation demand threshold. If the department operation value is less than its operation demand threshold, it means that it cannot continue to operate, then select the employee with the next highest priority for attendance adjustment of employees without preferential treatment as the employee without preferential treatment and re-execute steps S3~4; if the department operation value is greater than or equal to its operation demand threshold, it means that the department can operate normally; repeat this process to ensure that there are enough employees on duty, and employees without preferential treatment cannot adjust their attendance; S5: Mark the remaining employees in the department as preferential employees, and grant preferential privileges to the preferential employees; the preferential privileges are used to adjust attendance time through the employee attendance management platform.

[0009] Preferably, the employee attendance management platform also includes an employee registration module, a remote communication module and a user interface module; the employee registration module is used for enterprise employees to submit their employee identity information through a smart terminal to register for an attendance management account; the remote communication module is used to provide a remote access method; employees use the smart terminal to log in to the employee attendance management platform using the obtained attendance management account through remote access to perform subsequent operations and management; the user interface module is used to provide a user interface, and the user interface is used to display the employee's behavior analysis results and attendance arrangements.

[0010] As a preferred method, the work efficiency analysis of the employees' work data is carried out, specifically: Obtain the assignment time and completion time of the task, and mark the time between the task assignment time and the completion time as the task completion cycle; identify the irregular working time within the task completion cycle; calculate the difference between the task assignment time and the completion time to obtain the task execution time, and subtract the irregular working time from the task execution time to obtain the working time execution time; obtain the output and input of the task, divide the output by the input to obtain the productivity of the task; subtract the input from the output to obtain the harvest value of the task; perform weighted calculation on the productivity and harvest value to obtain the achievement value of the task; obtain the completion amount of the task by the employee within the set time period; Normalize the working time execution duration, outcome value and completion amount to obtain the work efficiency value.

[0011] As a preferred method, the attendance data of employees is analyzed, specifically: Obtain employee attendance data, including work and leave times, leave records, and overtime hours; Set the standard punch-in threshold for work and off-get off work time, calculate the difference between the employee's work and off-get off work time and the standard punch-in threshold, and get the punch-in time value; calculate the punch-in time value for each day in the preset work cycle, and use the formula to get the daily value; Get all leave records, including public holidays, personal leave and sick leave records; record the number of times the corresponding leave type in the leave record appears within the set leave period and mark it as the corresponding number of leave types; set the leave threshold of the corresponding leave type in the leave record, and subtract the corresponding number of leave types from the leave threshold to obtain the remaining leave corresponding to the leave type; perform weighted calculation on the remaining leave corresponding to all leave types to obtain the leave value; Obtain daily overtime hours; perform weighted calculation on daily overtime hours in a preset work cycle and use the formula to obtain the overtime value; Normalize the daily value, leave value, and overtime value to get the attendance value.

[0012] Preferably, in step S4, the specific analysis steps of the operation demand thresholds of each department in the enterprise are: Obtain operational task information of each department of the enterprise, including but not limited to the number of tasks, estimated duration, skill requirements, deadline, cost-effectiveness, and resource requirements; extract skill information of employees in the enterprise department, count the skill information of all employees and build a skill information database; the skill information database includes all skills of each employee and the proficiency of the corresponding skills; obtain the human, material and financial resources of the enterprise department and build an enterprise resource library; take the current moment as the first moment, calculate the time difference between the first moment and the task deadline to obtain the remaining duration of the task; The skill information library and the enterprise resource library are matched with the skill requirements and resource requirements corresponding to the task respectively. If any item in the skill information library and the enterprise resource library does not meet the skill requirements and resource requirements corresponding to the task, it means that the requirements of the task cannot be met, and a task value analysis signal is generated; If any item in the skill information library and the enterprise resource library meets the skill requirements and resource requirements corresponding to the task, indicating that the requirements of the task are met, the number of employees required for the task, the estimated duration, the remaining duration and the cost-effectiveness of the task are obtained, the index of the department corresponding to the employees required for the task is set, the number of employees, the estimated duration, the remaining duration and the cost-effectiveness are calculated, and the operational demand threshold of the corresponding department of the enterprise is obtained.

[0013] Preferably, when generating the task value analysis signaling, the task value is analyzed and processed, and the specific steps are: Obtain the cost-effectiveness, estimated duration, and remaining duration of the task, perform weighted calculation on the cost-effectiveness, estimated duration, and remaining duration of the task, and obtain the task importance value; compare the task importance value with its preset importance threshold; if the task importance is less than its importance threshold, do nothing; if the task importance is greater than its importance threshold, generate a task should be insufficient instruction; the task should be insufficient instruction is used to trigger skills and resource assistance operations.

[0014] Compared with related technologies, the employee behavior analysis and attendance optimization system provided by the present invention has the following beneficial effects: The present invention monitors employees' work performance and attendance in real time through an employee attendance management platform, so that employees can flexibly adjust their working hours according to their personal priorities and preferential values, realize dynamic adjustment of attendance time, help employees better balance work and life, improve their job satisfaction, and thus improve their sense of belonging and loyalty to the company as well as their work efficiency.

[0015] The present invention not only improves the management efficiency of employees but also reduces the manpower cost of attendance management by intelligently optimizing the attendance process. The automated attendance management reduces human errors and loopholes, and effectively improves the accuracy and reliability of attendance data. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a functional block diagram of the employee behavior analysis and attendance optimization system provided by the present invention.

[0017] Figure 2 The present invention is a flowchart of optimizing the management of the attendance process. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] The terms used in this disclosure are for the purpose of describing specific embodiments only and are not intended to limit the disclosure. The singular forms of "class", "group" and "the" used in this disclosure and the appended claims are also intended to include plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more associated listed items.

[0020] It should be understood that although the terms first, second, third, etc. may be used in the present disclosure to describe various information, such information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of the present disclosure, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0021] Please refer to Figure 1-2 . Employee behavior analysis and attendance optimization system, including: The employee behavior acquisition module is used to obtain the employee's work data; the work data includes the assignment time and completion time of the task, the output and input of the task, and the completion amount of the task; The attendance acquisition module is used to obtain employees' attendance data; attendance data includes get off work and leave time, leave records, and overtime hours; Data aggregation module, used to send employees’ work data and attendance data to the employee management platform; The employee attendance management platform includes data storage module, work efficiency analysis module, attendance analysis module and attendance management module, specifically: Data storage module, used to store employees' work data and attendance data; The ergonomics analysis module is used to analyze the work data of employees and obtain the working time execution duration KF1, the result value KF2 and the completion amount KF3; the working time execution duration, the result value and the completion amount are normalized and the formula is used. , and obtain the work efficiency value KF; where e represents the number of the task within the set time period K, and k1, k2, and k3 represent the weights corresponding to the working time execution duration, achievement value, and completion amount of the task within the set time period respectively; The attendance analysis module is used to analyze the attendance data of employees and obtain the daily value, leave value and overtime value; normalize the daily value KG1, leave value KG2 and overtime value KG3, and use the formula KG=KG1×b1+KG2×b2+KG3×b3 to obtain the attendance value KG; where b1, b2 and b3 represent the weights corresponding to the daily value, leave value and overtime value respectively; The fusion module is used to fuse the employee's work efficiency value and attendance value, and obtain the employee's preferential treatment value TS using the formula TS=KF×t1+KG×t2; where t1 and t2 represent the weights corresponding to the employee's work efficiency value and attendance value respectively; the employee's work efficiency value, attendance value and preferential treatment value are marked as behavior analysis results; The attendance management module is used to optimize the attendance process based on the behavior analysis results. The specific steps are as follows: S1: Obtain the employee preferential values ​​of employees in each department of the enterprise, arrange them in order of size to generate an attendance preferential list, and add the attendance adjustment priority in order; S2: Select the employees with the lowest priority for attendance adjustment as employees without preferential treatment; S3: Sum up the work efficiency values ​​of all employees without preferential treatment to obtain the department operation value; S4: Set the operation demand threshold of each department in the enterprise, compare the department operation value with its operation demand threshold. If the department operation value is less than its operation demand threshold, it means that it cannot continue to operate, then select the employee with the next highest priority for attendance adjustment of employees without preferential treatment as the employee without preferential treatment and re-execute steps S3~4; if the department operation value is greater than or equal to its operation demand threshold, it means that the department can operate normally; repeat this process to ensure that there are enough employees on duty, and employees without preferential treatment cannot adjust their attendance; S5: Mark the remaining employees in the department as preferential employees, and grant preferential privileges to the preferential employees; the preferential privileges are used to adjust attendance time through the employee attendance management platform.

[0022] It should be noted that by optimizing the attendance process based on the results of employee behavior analysis, the normal operation of the enterprise is guaranteed, and a more flexible and convenient attendance management method is provided for employees, thereby improving the overall efficiency of the enterprise and the job satisfaction of employees.

[0023] In the present application, both the employee behavior acquisition module and the attendance acquisition module include a number of sensors and data collectors for collecting work data and attendance data, and the sensors and data collectors are distributed in the employee's working environment.

[0024] It should be noted that the use of sensors and data collectors can realize intelligent and automated data processing, and the principle of privacy protection is followed during the data collection process to ensure the security of employees' personal information and privacy is not violated; The employee behavior acquisition module and the attendance acquisition module collect data through a variety of sensors and data collectors; for example, in terms of work data collection, the computer-side plug-in can record the office software task time and operation data to reflect the task output input and completion volume; the smart workstation sensor uses pressure, light and other sensing functions to assist in determining the task execution time, and can also obtain employee behavior data; in attendance data collection, the smart access control system records the time of leaving and coming on the job through identification, and can also connect to the leave system; the mobile attendance APP uses the mobile phone GPS sensor to ensure that the clock-in location is compliant, and at the same time records overtime and leave information.

[0025] In this application, the employee attendance management platform also includes an employee registration module, a remote communication module and a user interface module; the employee registration module is used for enterprise employees to submit their employee identity information through a smart terminal to register for an attendance management account; the remote communication module is used to provide a remote access method; employees use the smart terminal to log in to the employee attendance management platform using the obtained attendance management account through remote access to perform subsequent operations and management; the user interface module is used to provide a user interface, which is used to display the employee's behavior analysis results and attendance arrangements.

[0026] It should be noted that through the employee registration module, remote communication module and user interface module, it is convenient for employees to remotely manage the employee attendance management platform and view their own work data, attendance data and behavior analysis results, thereby making the platform functions more complete and the operation more convenient, providing employees with better user experience and services.

[0027] In this application, the work efficiency analysis of employees is carried out, specifically: Obtain the assignment time and completion time of the task, and mark the time between the task assignment time and the completion time as the task completion cycle; identify the irregular working time within the task completion cycle; calculate the difference between the task assignment time and the completion time to obtain the task execution time, and subtract the irregular working time from the task execution time to obtain the working time execution time and mark it as KF1; obtain the output and input of the task, divide the output by the input to obtain the productivity of the task; subtract the input from the output to obtain the harvest value of the task; perform weighted calculation on the productivity and harvest value to obtain the result value of the task and mark it as KF2; obtain the completion amount of the task by the employee within the set time period and mark it as KF3; Normalize the working time execution time, achievement value and completion amount, and use the formula , and obtain the work efficiency value KF; where e represents the number of the task within the set time period K, k1, k2, and k3 represent the weights corresponding to the working time execution duration, achievement value, and completion amount of the task within the set time period, respectively.

[0028] In this application, attendance analysis is performed on employee attendance data, specifically: Obtain employee attendance data, including work and leave times, leave records, and overtime hours; Set the standard punch-in threshold for on-duty and off-duty time, calculate the difference between the employee's on-duty and off-duty time and the standard punch-in threshold, and get the punch-in time value KG01; calculate the punch-in time value for each day in the preset work cycle, using the formula , get the daily value KG1; where u represents the number of the date in the preset work cycle, uKG01 represents the punch-in time value corresponding to date u, and ug represents the weight corresponding to the punch-in time value corresponding to date u; Get all leave records, including public holidays, personal leave and sick leave records; record the number of times the corresponding leave type in the leave record occurs within the set leave period and mark it as the corresponding number of leave types; set the leave threshold of the corresponding leave type in the leave record, subtract the leave threshold from the corresponding number of leave types to get the remaining leave corresponding to the leave type and mark it as KG2n; perform weighted calculation on the remaining leave corresponding to all leave types, using the formula , get the leave value KG2; where n represents the number of the corresponding leave type in the leave record, KG02n represents the remaining leave corresponding to leave type n, Indicates the weighted impact factor corresponding to the leave type n in the leave record; Get the daily overtime hours and mark them as KG03; perform weighted calculation on the daily overtime hours in the preset work cycle, using the formula , get the overtime value KG3; where uKG03 represents the overtime time corresponding to date u in the preset work cycle, Indicates the weight of overtime time corresponding to date u; Normalize the daily value, leave value and overtime value, and use the formula KG=KG1×b1+KG2×b2+KG3×b3 to get the attendance value KG; among them, b1, b2, b3 represent the weights corresponding to the daily value, leave value and overtime value respectively.

[0029] It should be noted that the weights involved are all set by professional personnel based on actual conditions, such as the weights corresponding to working hours, outcome values ​​and completion volume, as well as the weights corresponding to daily values, leave values ​​and overtime values. These need to be determined based on specific circumstances and management objectives to ensure that managers attach importance to various indicators.

[0030] In this application, at step S4, the specific analysis steps of the operation demand thresholds of each department in the enterprise are: Obtain operational task information of each department of the enterprise, including but not limited to the number of tasks, estimated duration, skill requirements, deadline, cost-effectiveness, and resource requirements; extract skill information of employees in the enterprise department, count the skill information of all employees and build a skill information database; the skill information database includes all skills of each employee and the proficiency of the corresponding skills; obtain the human, material and financial resources of the enterprise department and build an enterprise resource library; take the current moment as the first moment, calculate the time difference between the first moment and the task deadline to obtain the remaining duration of the task; The skill information library and the enterprise resource library are matched with the skill requirements and resource requirements corresponding to the task respectively. If any item in the skill information library and the enterprise resource library does not meet the skill requirements and resource requirements corresponding to the task, it means that the requirements of the task cannot be met, and a task value analysis signal is generated; If any item in the skill information library and the enterprise resource library meets the skill requirements and resource requirements corresponding to the task, it means that the requirements of the task are met. Then, the number of employees required for the task, the estimated duration, the remaining duration, and the cost-effectiveness of the task are obtained and marked as SE1, SE2, SE3, and SE4 respectively. The index i of the department corresponding to the employee required for the task is set, and the number of employees, the estimated duration, the remaining duration, and the cost-effectiveness are calculated. The formula , get the operational demand threshold of the corresponding department of the enterprise ; Among them, q1, q2, q3, and q4 represent the weights corresponding to the number of employees, estimated duration, remaining duration, and cost-effectiveness, respectively.

[0031] It should be noted that the weights involved are all set by professional personnel based on actual conditions. For example, the weights corresponding to the number of employees, estimated time, remaining time, and cost-effectiveness need to be determined based on specific circumstances and management objectives to ensure that managers attach importance to various indicators.

[0032] In this application, when generating the task value analysis signaling, the task value is analyzed and executed, and the specific steps are: The cost-effectiveness, estimated duration, and remaining duration of the task are obtained and marked as HR1, HR2, and HR3 respectively. The cost-effectiveness, estimated duration, and remaining duration of the task are weighted and calculated. The task importance value HR is obtained using the formula HR= (HR1×r1+HR2×r2+HR3×r3) / rB; among which r1, r2, and r3 represent the weight influencing factors of the cost-effectiveness, estimated duration, and remaining duration of the task respectively, and rB represents the influencing factor of the importance of the task issuer; the task importance value is compared with its preset importance threshold. If the task importance is less than its importance threshold, no processing is performed. If the task importance is greater than its importance threshold, a task should be insufficient instruction is generated; the task should be insufficient instruction is used to trigger skills and resource assistance operations; It should be noted that the skill assistance operation is used to trigger the search for individuals or entities with the required skills externally, including but not limited to other enterprises, freelancers or professional institutions, to establish contact with the matched individuals or entities, and to negotiate the cooperation mode; the resource assistance operation is used to trigger the search for individuals or entities that can provide the required resources externally through the network, platform or other channels, including but not limited to material suppliers and equipment leasing companies, and to negotiate with resource providers on the way to obtain resources, including but not limited to purchase, lease or cooperative sharing; By analyzing and executing the task value, the smooth execution of the task is ensured, and through skill-assisted operations and resource-assisted operations, the situation of insufficient skills or resources that may arise during task execution is effectively solved, thereby improving the efficiency and quality of task execution.

[0033] Those skilled in the art will readily appreciate other embodiments of the present invention after considering the specification and practicing the invention disclosed herein. This application is intended to cover any variations, uses or adaptations of the present invention that follow the general principles of the present invention and include common knowledge or customary techniques in the art that are not disclosed in this disclosure. The specification and examples are to be considered exemplary only, and the true scope and spirit of the present invention are indicated by the following claims.

[0034] It should be understood that the present invention is not limited to the exact construction that has been described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

Claims

1. Employee behavior analysis and attendance optimization system, characterized by: include: The employee behavior acquisition module is used to obtain the employee's work data; the work data includes the assignment time and completion time of the task, the output and input of the task, and the completion amount of the task; The attendance acquisition module is used to obtain employees' attendance data; attendance data includes get off work and leave time, leave records, and overtime hours; Data aggregation module, used to send employees' work data and attendance data to the employee attendance management platform; Employee attendance management platform, used to receive and store employees’ work data and attendance data; Conduct work efficiency analysis and attendance analysis on employees’ work data and attendance data respectively to obtain work efficiency values ​​and attendance values; The employee's work efficiency value and attendance value are integrated to obtain the employee's preferential treatment value; Mark employees' work efficiency values, attendance values, and preferential treatment values ​​as behavioral analysis results; optimize the attendance process based on the behavioral analysis results.

2. The system according to claim 1, characterized in that The employee behavior acquisition module and the attendance acquisition module both include a number of sensors and data collectors for collecting work data and attendance data, and the sensors and data collectors are distributed in the employee's working environment.

3. The system according to claim 1, characterized in that The employee attendance management platform includes a data storage module, a work efficiency analysis module, an attendance analysis module and an attendance management module; Data storage module, used to store employees' work data and attendance data; The ergonomics analysis module is used to perform ergonomics analysis on the work data of employees to obtain the execution time, achievement value and completion amount of working time; the execution time, achievement value and completion amount of working time are normalized to obtain the ergonomics value; The attendance analysis module is used to analyze the attendance data of employees to obtain daily values, leave values ​​and overtime values; normalize the daily values, leave values ​​and overtime values ​​to obtain the attendance values; The fusion module is used to integrate the employee's work efficiency value and attendance value to obtain the employee's preferential treatment value; Mark employees' work efficiency, attendance and preferential treatment values ​​as behavioral analysis results; The attendance management module is used to optimize the attendance process based on the results of behavioral analysis.

4. The system according to claim 3, characterized in that According to the results of behavioral analysis, the attendance process is optimized and managed. The specific steps are as follows: S1: Obtain the employee preferential values ​​of employees in each department of the enterprise, arrange them in order of size to generate an attendance preferential list, and add the attendance adjustment priority in order; S2: Select the employees with the lowest priority for attendance adjustment as employees without preferential treatment; S3: Sum up the work efficiency values ​​of all employees without preferential treatment to obtain the department operation value; S4: Set the operation demand threshold of each department in the enterprise, compare the department operation value with its operation demand threshold. If the department operation value is less than its operation demand threshold, it means that it cannot continue to operate, then select the employee with the next highest priority for attendance adjustment of employees without preferential treatment as the employee without preferential treatment and re-execute steps S3~4; if the department operation value is greater than or equal to its operation demand threshold, it means that the department can operate normally; repeat this process to ensure that there are enough employees on duty, and employees without preferential treatment cannot adjust their attendance; S5: Mark the remaining employees in the department as preferential employees, and grant preferential privileges to the preferential employees; the preferential privileges are used to adjust attendance time through the employee attendance management platform.

5. The system according to claim 1, characterized in that The employee attendance management platform also includes an employee registration module, a remote communication module and a user interface module; the employee registration module is used for enterprise employees to submit their employee identity information through a smart terminal to register and obtain an attendance management account; the remote communication module is used to provide a remote access method; employees use the smart terminal to log in to the employee attendance management platform using the obtained attendance management account through remote access; The user interface module is used to provide a user interface, and the user interface is used to display the behavior analysis results and attendance arrangements of employees.

6. The system according to claim 3, characterized in that Conduct ergonomic analysis on employees’ work data, specifically: Obtain the assignment time and completion time of the task, and mark the time between the task assignment time and the completion time as the task completion cycle; identify the irregular working time within the task completion cycle; calculate the difference between the task assignment time and the completion time to obtain the task execution time, and subtract the irregular working time from the task execution time to obtain the working time execution time and mark it as KF1; obtain the output and input of the task, divide the output by the input to obtain the productivity of the task; subtract the input from the output to obtain the harvest value of the task; perform weighted calculation on the productivity and harvest value to obtain the result value of the task and mark it as KF2; obtain the completion amount of the task by the employee within the set time period and mark it as KF3; Normalize the working time execution time, achievement value and completion amount, and use the formula , and obtain the work efficiency value KF; where e represents the number of the task within the set time period K, eKF1 and eKF2 respectively represent the working time execution duration and the result value corresponding to the task e within the set time period, and k1, k2, and k3 respectively represent the weights corresponding to the working time execution duration, result value, and completion amount of the task within the set time period.

7. The system according to claim 3, characterized in that Perform attendance analysis on employees' attendance data, specifically: Obtain employee attendance data, including work and leave times, leave records, and overtime hours; Set the standard punch-in threshold for on-duty and off-duty time, calculate the difference between the employee's on-duty and off-duty time and the standard punch-in threshold, and get the punch-in time value KG01; calculate the punch-in time value for each day in the preset work cycle, using the formula , get the daily value KG1; where u represents the number of the date in the preset working cycle, T1 represents the total number of dates in the preset working cycle, uKG01 represents the punch-in time value corresponding to date u, and ug represents the weight corresponding to the punch-in time value corresponding to date u; Get all leave records, including public holidays, personal leave and sick leave; record the number of times the corresponding leave type in the leave record occurs within the set leave period and mark it as the corresponding number of leave types; set the leave threshold of the corresponding leave type in the leave record, subtract the leave threshold from the corresponding number of leave types to get the remaining leave corresponding to the leave type and mark it as KG02n; perform weighted calculation on the remaining leave corresponding to all leave types, using the formula , get the leave value KG2; where n represents the number of the corresponding leave type in the leave record, T2 represents the total number of leave types in the leave record, Indicates the weighted impact factor corresponding to the leave type n in the leave record; Get the daily overtime hours and mark them as KG03; perform weighted calculation on the daily overtime hours in the preset work cycle, using the formula , get the overtime value KG3; where uKG03 represents the overtime time corresponding to date u in the preset work cycle, Indicates the weight of overtime time corresponding to date u; Normalize the daily value, leave value and overtime value, and use the formula KG=KG1×b1+KG2×b2+KG3×b3 to get the attendance value KG; among them, b1, b2, b3 represent the weights corresponding to the daily value, leave value and overtime value respectively.

8. The system according to claim 3, characterized in that In step S4, the specific analysis steps of the operation demand thresholds of each department in the enterprise are as follows: Obtain operational task information of each department of the enterprise, including but not limited to the number of tasks, estimated duration, skill requirements, deadline, cost-effectiveness, and resource requirements; extract skill information of employees in the enterprise department, count the skill information of all employees and build a skill information database; the skill information database includes all skills of each employee and the proficiency of the corresponding skills; obtain the human, material and financial resources of the enterprise department and build an enterprise resource library; take the current moment as the first moment, calculate the time difference between the first moment and the task deadline to obtain the remaining duration of the task; The skill information library and the enterprise resource library are matched with the skill requirements and resource requirements corresponding to the task respectively. If any item in the skill information library and the enterprise resource library does not meet the skill requirements and resource requirements corresponding to the task, it means that the requirements of the task cannot be met, and a task value analysis signal is generated; If any item in the skill information library and the enterprise resource library meets the skill requirements and resource requirements corresponding to the task, it means that the requirements of the task are met. Then, the number of employees required for the task, the estimated duration, the remaining duration, and the cost-effectiveness of the task are obtained and marked as SE1, SE2, SE3, and SE4 respectively. The index i of the department corresponding to the employee required for the task is set, and the number of employees, the estimated duration, the remaining duration, and the cost-effectiveness are calculated. The formula , get the operational demand threshold of the corresponding department of the enterprise ; Among them, q1, q2, q3, and q4 represent the weights corresponding to the number of employees, estimated duration, remaining duration, and cost-effectiveness, respectively.

9. The system according to claim 8, characterized in that When generating the task value analysis signaling, the task value is analyzed and executed. The specific steps are as follows: The cost-effectiveness, estimated duration and remaining duration of the task are obtained and marked as HR1, HR2 and HR3 respectively. The cost-effectiveness, estimated duration and remaining duration of the task are weighted and calculated, and the task importance value HR is obtained using the formula HR= (HR1×r1+HR2×r2+HR3×r3) / rB; wherein r1, r2 and r3 represent the weight influencing factors of the cost-effectiveness, estimated duration and remaining duration of the task respectively, and rB represents the influencing factor of the importance of the task issuer; the task importance value is compared with its preset importance threshold; if the task importance is less than its importance threshold, no processing is performed; if the task importance is greater than its importance threshold, a task should be insufficient instruction is generated; the task should be insufficient instruction is used to trigger skills and resource assistance operations.

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