CN119539753A - Attendance management system, attendance management method and device, and electronic equipment - Google Patents

Abstract

Compared with the related art, the attendance management system, the attendance management method and device and the electronic equipment can timely find and correct errors or omissions in data by checking historical attendance data sent by an attendance terminal, can generate overtime receipts according to actual overtime time, can reduce manual auditing time, improve processing efficiency of overtime application, ensure overtime of staff to be recorded and managed in time, can conduct overtime optimization according to enterprise labor requirements and staff vacation requirements, can effectively balance work load and staff rest time, and can comprehensively and systematically manage staff attendance conditions by integrating the attendance data, overtime information and the overtime table.

Description

Attendance management system, attendance management method and device and electronic equipment

Technical Field

The disclosure relates to the technical field of data processing, and in particular relates to an attendance management system, an attendance management method and device and electronic equipment.

Background

In coal-electricity enterprises, attendance management is an integral part of the daily operation of the enterprises. The attendance management not only relates to the aspects of attendance, overtime, holiday and the like of staff, but also is closely connected with the safety production of enterprises. In coal and electricity enterprises, strict attendance management is one of important means for ensuring production safety. The on-time on-duty, reasonable scheduling and standard overtime processing of staff are key factors for guaranteeing the stability of the production flow and preventing the occurrence of safety accidents. Traditional attendance management methods often rely on manual recording, statistics and analysis, which are not only inefficient, but also prone to error. Along with the continuous development of information technology, the accuracy and real-time requirements of coal-electricity enterprises on attendance management are higher and higher, and the traditional manual attendance management mode cannot meet the demands of the enterprises.

At present, some attendance management systems exist in the market, but the systems often have single functions, and cannot meet the requirements of complex and changeable scheduling processing, labor cost control, attendance data real-time acquisition, centralized operation and the like of coal and electricity enterprises. In addition, these systems also lack efficient integration with other management systems of the coal-electric enterprise (e.g., personnel management systems, salary management systems, etc.), resulting in problems of data islanding and information non-sharing. Therefore, aiming at the special requirements of coal and electricity enterprises, how to develop an attendance management system to meet the accuracy and real-time requirements of the coal and electricity enterprises on attendance management becomes a problem to be solved.

Disclosure of Invention

The disclosure provides an attendance management system, an attendance management method and device and electronic equipment. Its main purpose is to solve the current problem. The method aims at realizing automation, real-time and precision of attendance management by means of automation and intellectualization, and improving the management efficiency and level of enterprises.

According to a first aspect of the present disclosure, there is provided an attendance management system, the system including an overtime processing module, an exception processing module, a shift management module, an attendance management module;

The overtime processing module is used for receiving an overtime application of a target user, generating an overtime bill according to the overtime time of the target user, and sending the overtime bill to the attendance management module;

The abnormal processing module is used for receiving the historical attendance data sent by the attendance terminal, checking the historical attendance data which is failed to be sent by the attendance terminal, and sending an abnormal checking result to the attendance management module;

The scheduling management module is used for performing scheduling optimization according to the labor requirement of a target enterprise and the vacation requirement of staff to generate a scheduling table, and sending the scheduling table to the attendance management module;

The attendance management module is used for receiving attendance data sent by the attendance terminal, carrying out attendance management on a target user based on the attendance data, the attendance rules and the scheduling table, receiving and counting overtime receipts sent by the overtime processing module, and modifying the attendance record with abnormality according to an abnormality checking result sent by the abnormality processing module.

In some embodiments, the system further comprises a body temperature detection module;

The body temperature detection module is used for measuring and acquiring body temperature data of a target user and storing the body temperature data, judging whether the body temperature of the target user is abnormal or not based on the body temperature data, and generating alarm information under the condition of determining that the body temperature is abnormal.

In some embodiments, the attendance management module includes a rules and exception handling sub-module;

The rule and abnormality processing sub-module is used for acquiring rule instructions of an administrator, creating the attendance rule based on the rule instructions, and identifying target users with attendance abnormality based on the attendance data and the attendance rule.

In some embodiments, the system further comprises an interaction and information pushing module;

The interaction and information pushing module is used for generating corresponding alarm information and sending the alarm information to the attendance terminal and/or the user terminal under the condition that the attendance, the body temperature monitoring and the abnormality of the target user are determined.

According to a second aspect of the present disclosure, there is provided a method of attendance management, the method comprising:

performing scheduling optimization according to the labor requirement of the enterprise and the vacation requirement of staff to generate a scheduling table;

performing attendance management on the target user based on the scheduling table and attendance data and attendance rules sent by the attendance terminal;

And receiving the overtime application of the target user, calculating overtime time according to the overtime time of the application, and generating an overtime bill.

In some embodiments, the performing attendance management on the target user based on the scheduling table, the attendance data sent by the attendance terminal, and the attendance rule includes:

acquiring a rule instruction of an administrator, and creating the attendance rule based on the rule instruction;

And identifying the target user with abnormal attendance based on the attendance data and the attendance rule.

According to a third aspect of the present disclosure, there is provided an apparatus for attendance management, the apparatus comprising:

The generating unit is used for performing scheduling optimization according to the labor requirement of the enterprise and the vacation requirement of staff, and generating a scheduling table;

the attendance unit is used for performing attendance management on the target user based on the scheduling table, the attendance data and the attendance rules sent by the attendance terminal;

The computing unit is used for receiving the overtime application of the target user, computing the overtime time according to the overtime time of the application and generating the overtime bill.

In some embodiments, the attendance unit comprises:

The creation module is used for acquiring rule instructions of an administrator and creating the attendance rule based on the rule instructions;

and the identification module is used for identifying the target user with abnormal attendance based on the attendance data and the attendance rule.

According to a fourth aspect of the present disclosure, there is provided an electronic device comprising:

At least one processor, and

A memory communicatively coupled to the at least one processor, wherein,

The memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of the second aspect.

According to a fifth aspect of the present disclosure, there is provided a non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of the preceding second aspect.

According to a sixth aspect of the present disclosure, there is provided a computer program product comprising a computer program which, when executed by a processor, implements a method as described in the foregoing second aspect.

The attendance management system, the attendance management method and the attendance management device and the electronic equipment comprise an overtime processing module, an abnormal processing module, a overtime management module and an attendance management module, wherein the overtime processing module is used for receiving overtime application of a target user, generating overtime receipts according to overtime time calculated by the target user and sending the overtime receipts to the attendance management module, the abnormal processing module is used for receiving historical attendance data sent by an attendance terminal, checking the historical attendance data which is failed to be sent by the attendance terminal and sending an abnormal checking result to the attendance management module, the overtime management module is used for carrying out overtime optimization according to labor requirements of a target enterprise and vacation requirements of staff and generating a overtime table and sending the overtime table to the attendance management module, the attendance management module is used for receiving the attendance data sent by the attendance terminal and managing the target user based on the attendance data, the attendance rules and the overtime receipts sent by the overtime processing module, and carrying out abnormal record modification on the abnormal attendance records sent by the overtime processing module according to the checking module. Compared with the related art, the method and the device for checking the historical attendance data can timely find and correct errors or omission in the data by checking the historical attendance data sent by the attendance terminal, can generate overtime receipts according to actual overtime time, can reduce manual auditing time, improve processing efficiency of overtime application, ensure overtime of staff to be recorded and managed in time, can conduct overtime optimization according to enterprise labor requirements and staff vacation requirements, can effectively balance work load and staff rest time, and can comprehensively and systematically manage staff attendance conditions by integrating the attendance data, overtime information and the scheduling table.

It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the application or to delineate the scope of the application. Other features of the present application will become apparent from the description that follows.

Drawings

The drawings are for a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:

Fig. 1 is a schematic structural diagram of an attendance management system according to an embodiment of the disclosure;

fig. 2 is a schematic structural diagram of another attendance management system according to an embodiment of the present disclosure;

Fig. 3 is a flowchart of a method for attendance management according to an embodiment of the present disclosure;

fig. 4 is a schematic structural diagram of an apparatus for attendance management according to an embodiment of the present disclosure;

fig. 5 is a schematic block diagram of an example electronic device provided by an embodiment of the present disclosure.

Detailed Description

Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and should be considered as merely exemplary. Accordingly, one of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

The following describes an attendance management system, an attendance management method and device and electronic equipment according to embodiments of the present disclosure with reference to the accompanying drawings.

Fig. 1 is a schematic structural diagram of an attendance management system provided in an embodiment of the disclosure, where the system includes an overtime processing module 11, an exception processing module 12, a shift management module 13, and an attendance management module 14;

The overtime processing module 11 is configured to receive an overtime application of a target user, and generate an overtime document according to the overtime time of the target user, and send the overtime document to the attendance management module 14.

Specifically, the main function of the overtime processing module 11 is to receive an overtime application submitted by a target user. When employees need to do additional work outside of normal working hours, they can submit overtime applications through the system. The overtime processing module 11 processes the applications, and calculates and audits overtime time in the applications to ensure the rationality and compliance of the applications. After calculation, the module generates a detailed overtime bill, wherein the detailed overtime bill comprises information such as the name of staff, overtime date, overtime time length, overtime reason and the like. This overtime bill is then sent to the attendance management module 14 for further attendance record updates and statistical analysis. The attendance management module 14 will update the attendance records of the staff based on the received overtime receipts, ensure that all overtime information is accurately recorded, and provide necessary data support for subsequent payroll and human resource management. Through the process, the overtime processing module 11 not only improves the processing efficiency of overtime application, but also ensures the accuracy and the integrity of the attendance data.

The anomaly processing module 12 is configured to receive the historical attendance data sent by the attendance terminal, check the historical attendance data failed to be sent by the attendance terminal, and send an anomaly check result to the attendance management module 14.

Specifically, the main function of the exception handling module 12 is to receive the historical attendance data sent from the attendance terminal. In practical operation, the attendance terminal may fail to send some historical attendance data due to various reasons (such as network problems, equipment faults, etc.), which requires the exception handling module 12 to perform effective processing and checking. When the module 12 receives the historical attendance data of the attendance terminal, it will systematically analyze and check the data. The module will evaluate the integrity and accuracy of these data, and the module will check in detail for those attendance records that failed to be sent or that are abnormal. This includes checking multiple dimensions of data format, timestamp consistency, attendance status rationality, etc., ensuring that each attendance record is valid and trusted. After verification, the module 12 collates the detected abnormal situation and the verification result, and generates a detailed report. This report may contain content such as specific information of the exception record, descriptions of missing data, suggested modification measures, etc. The exception checking results will then be sent to the attendance management module 14 so that the module can take corresponding action against these exception records. The attendance management module 14, after receiving the checking result from the exception handling module 12, will adjust and modify the existing exception attendance record, so as to maintain the accuracy and consistency of the attendance data. Through the series of processing flows, the abnormality processing module 12 not only improves the quality of the attendance data and reduces the management risk possibly caused by data errors, but also provides more accurate and reliable attendance information for enterprises.

The scheduling management module 13 is configured to perform scheduling optimization to generate a scheduling table according to the labor requirement of the target enterprise and the vacation requirement of the staff, and send the scheduling table to the attendance management module 14.

Specifically, the core function of the shift management module 13 is to perform intelligent shift optimization according to the labor requirement of the target enterprise and the vacation requirement of the staff, and generate a corresponding shift table. Specifically, the module first collects and analyzes the work demands of the enterprise in a specific time period, including factors such as daily business peak hours, project demand changes, and workload of staff, and the like, and the data can help the manager identify in which time periods the manager needs to increase hands to meet the smooth operation of the business. At the same time, module 13 also takes into account the employee's vacation requirements. This includes holiday requests submitted by employees, personal work preferences, law and regulation of holiday time, etc. By comprehensively analyzing the information, the scheduling management module can identify an optimal scheduling scheme, so that the flexibility and efficiency of enterprise labor are ensured, and meanwhile, the rest rights and holiday arrangement of staff are respected. When the scheduling optimization is carried out, the module adopts an advanced algorithm and model, so that the generated scheduling table can meet the production requirements of enterprises and can reasonably arrange the working and rest time of staff. The optimized shift schedule covers the specific working time, shift arrangement and required post responsibilities of each staff so as to ensure that the staff configuration of each post is reasonable. After the completion of the generation of the scheduling table, the scheduling management module 13 sends the scheduling table to the attendance management module 14. The attendance management module updates the attendance record in the system according to the received scheduling list, and effectively tracks and manages the attendance situation of staff. Through the process, the scheduling management module not only improves the overall labor efficiency and promotes the normal operation of enterprises, but also enhances the work satisfaction degree of staff and team cooperation, thereby forming a harmonious working environment.

The attendance management module 14 is configured to receive attendance data sent by an attendance terminal, perform attendance management on a target user based on the attendance data, an attendance rule and the scheduling table, receive and count overtime receipts sent by the overtime processing module 11, and modify an abnormal attendance record according to an abnormal check result sent by the abnormal processing module 12.

Specifically, the attendance management module 14 is mainly used for comprehensively taking charge of the attendance management of the target user, and provides accurate and timely information support for the attendance record of the enterprise by receiving the attendance data sent by the attendance terminal in real time. The attendance data may include the time of the employee's card, the status of the attendance (e.g., absent, late, early back, etc.), and other relevant information. The attendance management module performs systematic attendance management based on the data and simultaneously by combining preset attendance rules (such as attendance card punching time, late-arrival deduction standards, leave-leave flow and the like) and a scheduling table generated in advance. The method comprises the steps that a module firstly verifies the validity of attendance data, and the attendance record of each employee is ensured to reflect the actual attendance condition. And then, the module classifies the attendance states of each employee according to the attendance rules to generate a detailed attendance report. These reports will reveal the attendance performance of the staff and provide basis for subsequent human resource management and salary calculation. In addition, the attendance management module 14 is also responsible for receiving overtime documents sent from the overtime processing module 11. The overtime receipts comprise overtime requests of staff and approved overtime time, and the attendance management module integrates the information into an attendance record of the staff to ensure accurate reflection and reasonable statistics of the overtime time. The process not only ensures that the staff gets fair treatment after overtime, but also is helpful for the management layer to know the workload condition of the staff. At the same time, the attendance management module 14 also receives the exception checking result sent by the exception handling module 12. These results typically relate to potential errors or anomalies found in the attendance records, such as errors in the time of a punch, missing attendance data, or records that do not comply with the attendance rules. For these anomalies, the module 14 will make the necessary record modifications based on the verification result to maintain the accuracy and integrity of the attendance data. Through this series of functions, the attendance management module 14 not only improves automation and efficiency of the enterprise attendance management, but also ensures transparency and fairness of the attendance data. The systematic attendance management mode not only enables enterprises to timely master attendance conditions of staff, but also can provide data support for the enterprises to formulate effective human resource strategies, and promotes efficient operation and healthy development of the enterprises.

The attendance management system comprises an overtime processing module, an exception processing module, a scheduling management module and an attendance management module, wherein the overtime processing module is used for receiving overtime application of a target user, generating overtime receipts according to overtime time of the target user and sending the overtime receipts to the attendance management module, the exception processing module is used for receiving historical attendance data sent by an attendance terminal, checking the historical attendance data which is failed to be sent by the attendance terminal and sending an exception checking result to the attendance management module, the scheduling management module is used for performing scheduling optimization according to labor requirements of a target enterprise and vacation requirements of staff to generate a scheduling table and sending the scheduling table to the attendance management module, the attendance management module is used for receiving attendance data sent by the attendance terminal, managing the target user based on the attendance data, the attendance rules and the scheduling table, receiving and counting the overtime receipts sent by the overtime processing module, and modifying existing exception checking records according to the exception checking result sent by the exception processing module. Compared with the related art, the method and the device for checking the historical attendance data can timely find and correct errors or omission in the data by checking the historical attendance data sent by the attendance terminal, can generate overtime receipts according to actual overtime time, can reduce manual auditing time, improve processing efficiency of overtime application, ensure overtime of staff to be recorded and managed in time, can conduct overtime optimization according to enterprise labor requirements and staff vacation requirements, can effectively balance work load and staff rest time, and can comprehensively and systematically manage staff attendance conditions by integrating the attendance data, overtime information and the scheduling table.

Further, in one possible implementation of this embodiment, as shown in fig. 2, the system further includes a body temperature detection module 15;

The body temperature detection module 15 is used for measuring and acquiring body temperature data of a target user and storing the body temperature data, judging whether the body temperature of the target user is abnormal or not based on the body temperature data, and generating alarm information under the condition of determining that the body temperature is abnormal.

Specifically, the main function of the body temperature detection module 15 is to measure and acquire the body temperature data of the target user in real time, so as to ensure the health and safety of staff. The module is typically equipped with advanced sensors or thermometers that are capable of rapidly and accurately measuring the body temperature of the user. These measurements are recorded and stored in the system in time for subsequent health monitoring and tracking. Specifically, when the target user enters the workplace, the body temperature detection module 15 is automatically activated to take body temperature measurements. During the measurement process, the module 15 will ensure the accuracy and reliability of the data, and determine the acquired body temperature data according to a preset standard range (for example, the normal body temperature range is 36.1 ℃ to 37.2 ℃). Once the measured body temperature is outside of normal range, module 15 immediately marks the body temperature of the user as abnormal. After determining that the body temperature of the target user is abnormal, the module 15 not only generates alarm information, but also records the abnormal situation in detail. The alarm information can contain identity information, measurement time, specific body temperature value and the like of the user, so that subsequent tracing and processing are facilitated. The alarm information may be sent to the relevant personnel or management system to alert the human resource manager or safety supervision team to take the necessary protective measures, such as further health assessment, quarantine observation, or providing the necessary medical support to the user. In addition, the body temperature detection module 15 can also be linked with other health monitoring systems, such as an attendance management module, an entrance security system, etc., so as to construct a more comprehensive health monitoring system. The comprehensive health management measures are not only helpful for finding and coping with potential infectious disease risks, creating a safer working environment for enterprises, but also improving trust feeling and satisfaction degree of staff on workplace health safety management. Through effectual body temperature monitoring and early warning mechanism, the enterprise can protect staff's health better, ensures the stability and the smoothness of daily operation.

Further, in one possible implementation of the present embodiment, as shown in fig. 2, the attendance management module 14 includes a rule and exception handling sub-module 141;

The rule and exception handling sub-module 141 is configured to obtain a rule instruction of an administrator, create the attendance rule based on the rule instruction, and identify a target user with attendance exception based on the attendance data and the attendance rule.

Specifically, the main function of the rule and anomaly handling sub-module 141 is to provide a flexible rule making and anomaly detection mechanism for the attendance management system. Specifically, the submodule is firstly responsible for acquiring rule instructions input by an administrator in real time, and the instructions may include, but are not limited to, time requirements of attendance checking and card punching, leave application programs, attendance deduction standards, absences approval processes and other policies related to employee attendance. These rules instructions typically cover the various requirements and specifications of the enterprise in terms of attendance, ensuring the standardization and consistency of attendance management. After obtaining the rule instructions of the administrator, the rule and exception handling sub-module 141 will automatically create attendance rules applicable to the enterprise interior according to these rule instructions. These attendance rules are the core components of the system, providing an explicit standard for subsequent attendance management. The module flexibly sets various attendance rules according to different conditions and requirements, such as different requirements for full-time staff and part-time staff, or different attendance policies for common workdays and holidays, so as to effectively meet the diversified attendance management requirements of enterprises. In addition, the rule and anomaly handling sub-module 141 monitors and analyzes the collected attendance data in real time, and compares and analyzes the collected attendance data with the created attendance rules. Through the process, the system can effectively identify the abnormal situation in the attendance record. Attendance anomalies may include frequent delays of staff, absence of attendance, absence of a leave, time-out of card punching, etc., and the system automatically marks these anomalies for subsequent processing. Upon identifying the target user of the attendance anomaly, the rules and anomalies processing sub-module 141 generates detailed anomalies reports containing specific information about the anomaly, such as the type of anomaly, the frequency of occurrence, the identity information related to the employee, and the attendance data associated therewith. The generation of the information not only helps the manager of the enterprise to quickly know the attendance status, but also provides data support and basis for subsequent management decisions. The manager can take corresponding measures in time according to the reports, such as communicating with related staff or taking punishment measures, so as to ensure the fairness and effectiveness of attendance management.

Further, in one possible implementation of this embodiment, as shown in fig. 2, the system further includes an interaction and information pushing module 16;

The interaction and information pushing module 16 is configured to generate corresponding alarm information and send the alarm information to the attendance terminal and/or the user terminal when it is determined that the target user has attendance, body temperature monitoring and abnormality.

Specifically, the interaction and information push module 16 has a main function of monitoring and processing information related to attendance checking, body temperature monitoring and abnormal conditions in real time. In the running process of the system, the module can effectively identify whether any abnormality exists in the attendance process of the target user, such as late arrival, lesson lack, abnormal body temperature and the like. Once it is determined that the user is in the above situation, the module 16 automatically generates corresponding alarm information to ensure that the manager and related personnel can timely learn about the problem. Such alert information typically includes critical information such as the type of anomaly, the identity of the user affected, the specific time at which the anomaly occurred, the associated attendance and body temperature data, and the like. The detailed information not only enables the alarm information to be more transparent and comprehensive, but also facilitates the management layer to carry out quick judgment and decision so as to take measures in a targeted manner. After the alert message is generated, the interaction and message pushing module 16 may send the alert message to the attendance terminal and/or the user terminal. Specifically, the attendance terminal may be a system or device for attendance management inside the enterprise, such as an attendance machine, a workstation, etc., and the user terminal may include a mobile phone, a tablet or a computer of an employee, etc. The pushing mechanism of the information ensures that related personnel obtain important information in the shortest time and respond quickly. After the attendance terminal receives the alarm information, the manager can immediately check and process abnormal conditions, such as contacting related staff to know specific conditions, or taking necessary measures, such as adjusting attendance records, performing health monitoring and the like. When the user terminal receives the alarm information, the staff can also timely acquire the attendance status or health condition of the staff, the importance of the staff on attendance management is increased, and meanwhile, the attention of enterprises on the health and management fairness of the staff can be reflected. In addition, the interaction and information pushing module 16 may also have linkage capability with other management subsystems, for example, may perform data sharing and cooperative processing with a human resource management system, a health monitoring system, etc., so as to further improve the level of intellectualization and efficiency of the whole attendance management. The information pushing and interacting mechanism not only enhances the sensitivity and response speed of enterprises to attendance and health management, but also lays a foundation for establishing a safe, efficient and transparent working environment. Through accurate timely alarm information transmission, the enterprise can maintain staff's health and safety better, promotes whole operating efficiency.

Fig. 3 is a flowchart illustrating a method for attendance management according to an embodiment of the present disclosure.

As shown in fig. 3, the method comprises the steps of:

Step 201, performing scheduling optimization according to the labor requirement of the enterprise and the vacation requirement of staff, and generating a scheduling table.

Specifically, in step 201, shift optimization is performed according to the work demands of the enterprise and the vacation demands of the staff, which is a systematic and complex process, so as to achieve efficient use of resources and improvement of satisfaction of the staff. Firstly, the enterprise can determine the human resources required by each post according to the operation mode, the business peak period and the daily work demands. Through analysis of the historical data, enterprises can identify the labor requirement changes in different time periods, and enough staff can be arranged at key moments. At the same time, the holiday needs of staff are also of vital importance. Each employee may have different leave demands at different times, such as a family transaction, personal leave, or scheduled holiday, etc. The staff's vacation condition is known, can help the enterprise to plan the scheduling better, avoid the recruitment deficiency that causes when staff's absence. Thus, enterprises typically collect employee vacation applications on a regular basis and analyze individual needs of the employees. After collecting and analyzing the information, the scheduling optimization system comprehensively considers the labor requirement of the enterprise and the vacation requirement of staff, and optimizes the information through an intelligent algorithm or model. The system may set priority, for example, consider the criticality of certain posts, the working time balance of staff, proper working and rest time, etc., ensure that each staff can work efficiently under reasonable conditions and maintain a good working state. Finally, after scheduling optimization, the system generates a scheduling table which meets the work demands of enterprises and the vacation demands of staff. The scheduling table not only can ensure that enterprises have enough manpower support in all time periods to meet the requirement of service operation, but also considers personal arrangement of staff and honors the vacation rights and interests of the staff. The generated scheduling list is presented in a clear and easily understood format, so that staff can conveniently check and confirm, misunderstanding and conflict caused by scheduling are reduced, and the work satisfaction degree of the staff and the overall operation efficiency of enterprises are improved. In addition, the enterprises can also regularly review and adjust the scheduling list, and update the scheduling strategy timely according to the business development status, employee feedback and market change. The flexible scheduling optimization mechanism not only improves the response capability of enterprises, but also is beneficial to forming a positive and harmonious working environment and enhancing the cohesive force and the working efficiency of teams.

And 202, performing attendance management on the target user based on the scheduling table, the attendance data sent by the attendance terminal and the attendance rules.

Step 2021, obtaining a rule instruction of the administrator, and creating the attendance rule based on the rule instruction.

Step 2022, identifying a target user with abnormal attendance based on the attendance data and the attendance rule.

Specifically, in step 202, based on the scheduling table, the attendance data sent by the attendance terminal, and the preset attendance rule, comprehensive attendance management for the target user is a systematic work, so as to ensure that the attendance situation of each employee meets the relevant rules of the enterprise, thereby improving the overall management efficiency and the work enthusiasm of the employees.

In step 2021, the system first obtains the administrator's rule instructions. An administrator may set a series of rules and policies related to attendance according to the actual operating needs and management goals of the enterprise during this process. These rules may cover various aspects such as the definition of attendance time (e.g., on-duty time, off-duty time), application flows for leave and absent, withhold criteria for late or early withdrawal, and approval flows for holiday scheduling. The system refines and systemizes these rule instructions to facilitate subsequent attendance management work. After the rule instructions of the administrator are obtained, the system can automatically create corresponding attendance rules based on the instructions. The attendance rules not only provide clear behavior specifications for staff in daily work, but also help a management layer to have basis when handling abnormal situations. Meanwhile, the process is combined with a scheduling table established in the earlier stage, so that the attendance rule is ensured to be consistent with the work arrangement of staff, and attendance disputes or misunderstanding caused by unclear rules are effectively reduced.

In step 2022, the system fully utilizes the attendance data sent in real time by the attendance terminal and the established attendance rules to identify the attendance anomalies of the target user. In the process, the system can continuously monitor, record and analyze daily attendance data, including the card punching time, the absenteeism condition, the leave-leave record, the body temperature monitoring condition and the like of staff, and compare the attendance data with the set attendance rule. If the attendance condition of a staff deviates from the rule requirement, such as late arrival, no card punching, absence and the like, the system automatically recognizes the attendance anomalies and marks the target user.

And 203, receiving an overtime application of the target user, calculating overtime time according to the overtime time of the application, and generating an overtime bill.

Specifically, in step 203, a overtime application of the target user is received, and according to the overtime time of the application, the overtime time is calculated, and an overtime document is generated, which is a systematic flow, and aims to ensure standardization and transparency of overtime management.

First, the system receives a overtime application submitted by the target user. When an employee applies for overtime, it is often necessary to fill in relevant information such as date of overtime, start and end time, reason for overtime, etc. The information not only helps the management layer to know the necessity of overtime, but also provides basic data for subsequent overtime time calculation. The application can be submitted through an attendance management system, a mobile application program or other relevant platforms of the enterprise, so that convenience and high efficiency of the process are ensured.

Once the system receives the overtime application, the next step is to calculate the overtime time according to the overtime time of the application. The system automatically analyzes the start time and the end time of the overtime provided by the staff and compares the start time and the end time with the standard working time of the enterprise to determine the actual overtime time. For example, if an employee continues to work after the normal work is completed, the system calculates the hours that he/she is overtime and considers whether relevant regulations regarding overtime in corporate policy are met. The process ensures that the calculation of the overtime time is accurate and free, and human errors are avoided.

After the calculation of the overtime time is completed, the system generates an overtime bill. The receipt usually details the basic information of staff, overtime date, overtime start and end time, calculated overtime duration, overtime reason and the like. The overtime bill generated is not only used as the overtime certificate, so that the management layer can conveniently carry out auditing and recording, but also can provide basis for subsequent salary calculation. In this way, the enterprise can ensure transparency and compliance of overtime, avoiding disputes caused by overtime problems.

In addition, the generated overtime bill can be sent to related management personnel for approval in an electronic mode, so that timely processing and feedback of the overtime application are ensured. Once the approval passes, the system automatically updates the attendance records of the staff, so that the overtime time can be accurately reflected in salary calculation. The efficient overtime management flow not only improves the management efficiency of enterprises on overtime conditions of the staff, but also enhances the trust of the staff on the enterprise system, and improves the work enthusiasm.

It should be noted that, in the embodiments of the present disclosure, a plurality of steps may be included, and these steps are numbered for convenience of description, but these numbers are not limiting on the time slots executed between the steps and the execution sequence, and these steps may be implemented in any order, and the embodiments of the present disclosure do not limit this.

Corresponding to the method for attendance management, the invention also provides a device for attendance management. Since the device embodiment of the present invention corresponds to the above-mentioned method embodiment, details not disclosed in the device embodiment may refer to the above-mentioned method embodiment, and details are not described in detail in the present invention.

Fig. 4 is a schematic structural diagram of an apparatus for attendance management according to an embodiment of the present disclosure, as shown in fig. 4, including:

the generating unit 31 is configured to perform scheduling optimization according to the labor requirement of the enterprise and the vacation requirement of the staff, and generate a scheduling table;

the attendance unit 32 is used for performing attendance management on the target user based on the scheduling table, the attendance data and the attendance rules sent by the attendance terminal;

And the calculating unit 33 is used for receiving the overtime application of the target user, calculating the overtime time according to the overtime time of the application, and generating the overtime bill.

Further, in one possible implementation manner of this embodiment, as shown in fig. 4, the attendance checking unit 32 includes:

the creation module 321 is configured to obtain a rule instruction of an administrator, and create the attendance rule based on the rule instruction;

and the identifying module 322 is used for identifying the target user with abnormal attendance based on the attendance data and the attendance rule.

The foregoing explanation of the method embodiment is also applicable to the apparatus of this embodiment, and the principle is the same, and this embodiment is not limited thereto.

According to embodiments of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.

Fig. 5 shows a schematic block diagram of an example electronic device 400 that may be used to implement embodiments of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the disclosure described and/or claimed herein.

As shown in fig. 5, the apparatus 400 includes a computing unit 401 that can perform various appropriate actions and processes according to a computer program stored in a ROM (Read-Only Memory) 402 or a computer program loaded from a storage unit 408 into a RAM (Random Access Memory ) 403. In RAM 403, various programs and data required for the operation of device 400 may also be stored. The computing unit 401, ROM 402, and RAM 403 are connected to each other by a bus 404. An I/O (Input/Output) interface 405 is also connected to bus 404.

The various components in the device 400 are connected to an I/O interface 405, including an input unit 406, e.g., keyboard, mouse, etc., an output unit 407, e.g., various types of displays, speakers, etc., a storage unit 408, e.g., magnetic disk, optical disk, etc., and a communication unit 409, e.g., network card, modem, wireless communication transceiver, etc. The communication unit 409 allows the device 400 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.

The computing unit 401 may be a variety of general purpose and/or special purpose processing components having processing and computing capabilities. Some examples of computing unit 401 include, but are not limited to, a CPU (Central Processing Unit ), a GPU (Graphic Processing Units, graphics processing unit), various specialized AI (ART IFICIAL INTELL IGENCE ) computing chips, various computing units running machine learning model algorithms, a DSP (DIGITAL SIGNAL Processor ), and any suitable Processor, controller, microcontroller, etc. The computing unit 401 performs the various methods and processes described above, such as the method of attendance management. For example, in some embodiments, the method of attendance management may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as the storage unit 408. In some embodiments, part or all of the computer program may be loaded and/or installed onto the device 400 via the ROM 402 and/or the communication unit 409. When the computer program is loaded into RAM 403 and executed by computing unit 401, one or more steps of the method described above may be performed. Alternatively, in other embodiments, the computing unit 401 may be configured to perform the aforementioned method of attendance management in any other suitable way (e.g., by means of firmware).

Various implementations of the systems and techniques described here above can be implemented in digital electronic circuitry, integrated Circuit System, FPGA (Field Programmable GATE ARRAY ), ASIC (application-specific integrated Circuit), ASSP (application-specific standard Product), SOC (System On Chip), CPLD (Complex Programmable Logic Device ), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include being implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be a special or general purpose programmable processor, operable to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device.

Program code for carrying out methods of the present disclosure may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus such that the program code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be implemented. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, RAM, ROM, EPROM (ELECTRICALLY PROGRAMMABLE READ-Only-Memory, erasable programmable read-Only Memory) or flash Memory, an optical fiber, a CD-ROM (Compact Di sc Read-Only Memory), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having a display device (e.g., a CRT (Cathode-Ray Tube) or LCD (Liquid CRYSTAL DI SPLAY) monitor) for displaying information to the user and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user, for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback), and input from the user may be received in any form, including acoustic input, speech input, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include LAN (Local Area Network ), WAN (Wide Area Network, wide area network), the Internet, and blockchain networks.

The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service ("Virtual PRIVATE SERVER" or simply "VPS") are overcome. The server may also be a server of a distributed system or a server that incorporates a blockchain.

It should be noted that, artificial intelligence is a subject of studying a certain thought process and intelligent behavior (such as learning, reasoning, thinking, planning, etc.) of a computer to simulate a person, and has a technology at both hardware and software level. The artificial intelligence hardware technology generally comprises technologies such as a sensor, a special artificial intelligence chip, cloud computing, distributed storage, big data processing and the like, and the artificial intelligence software technology mainly comprises a computer vision technology, a voice recognition technology, a natural language processing technology, a machine learning/deep learning technology, a big data processing technology, a knowledge graph technology and the like.

The various numbers of first, second, etc. referred to in this disclosure are merely for ease of description and are not intended to limit the scope of embodiments of this disclosure, nor to indicate sequencing.

At least one of the present disclosure may also be described as one or more, a plurality may be two, three, four or more, and the present disclosure is not limited. In the embodiment of the disclosure, for a technical feature, the technical features in the technical feature are distinguished by "first", "second", "third", "a", "B", "C", and "D", and the technical features described by "first", "second", "third", "a", "B", "C", and "D" are not in sequence or in order of magnitude.

It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps recited in the present disclosure may be performed in parallel, sequentially, or in a different order, provided that the desired results of the disclosed aspects are achieved, and are not limited herein.

The above detailed description should not be taken as limiting the scope of the present disclosure. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present disclosure are intended to be included within the scope of the present disclosure.

Claims (10)

1. An attendance management system, characterized in that the system comprises: an overtime processing module, an exception processing module, a shift management module, and an attendance management module; The overtime processing module is used to receive the overtime application of the target user, calculate the overtime time of the target user, generate an overtime document and send it to the attendance management module; The exception handling module is used to receive the historical attendance data sent by the attendance terminal, verify the historical attendance data that failed to be sent by the attendance terminal, and send the abnormal verification result to the attendance management module; The shift management module is used to optimize the shifts and generate a shift schedule according to the labor demand of the target enterprise and the vacation demand of the employees, and send the shift schedule to the attendance management module; The attendance management module is used to receive the attendance data sent by the attendance terminal, and perform attendance management on the target user based on the attendance data, attendance rules and the shift schedule; receive and count overtime documents sent by the overtime processing module; and modify the attendance records with abnormalities according to the abnormal verification results sent by the abnormality processing module. 2. The system according to claim 1, characterized in that the system further comprises: a body temperature detection module; The body temperature detection module is used to measure and obtain the body temperature data of the target user, and store the body temperature data; based on the body temperature data, determine whether the body temperature of the target user is abnormal, and generate an alarm message if it is determined that the body temperature is abnormal. 3. The system according to claim 1, characterized in that the attendance management module comprises: rules and exception handling submodules; The rule and exception handling submodule is used to obtain the rule instructions of the administrator, create the attendance rules based on the rule instructions, and identify the target users with attendance abnormalities based on the attendance data and the attendance rules. 4. The system according to claim 1, characterized in that the system further comprises: an interaction and information push module; The interaction and information push module is used to generate corresponding alarm information and send the alarm information to the attendance terminal and/or user terminal when it is determined that the target user has attendance, body temperature monitoring and abnormalities. 5. A method for attendance management, characterized in that the method is applied to the attendance management system according to any one of claims 1 to 4, and the method comprises: Optimize shift scheduling based on the company's labor demand and employees' vacation needs, and generate a shift schedule; Perform attendance management on target users based on the shift schedule, attendance data sent by the attendance terminal, and attendance rules; Receive overtime applications from target users, calculate overtime hours based on the applied overtime hours, and generate overtime documents. 6. The method according to claim 5, characterized in that the attendance management of the target user based on the shift schedule, the attendance data sent by the attendance terminal, and the attendance rules comprises: Obtaining a rule instruction from an administrator, and creating the attendance rule based on the rule instruction; Based on the attendance data and the attendance rules, target users with abnormal attendance are identified. 7. A device for attendance management, characterized in that the device comprises: A generation unit is used to optimize the shift schedule according to the enterprise's labor demand and the employees' vacation needs, and generate a shift schedule; An attendance unit, used to perform attendance management on target users based on the shift schedule, attendance data sent by the attendance terminal, and attendance rules; The calculation unit is used to receive the overtime application of the target user, calculate the overtime time according to the applied overtime time, and generate an overtime document. 8. An electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 6. 9. A non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to cause the computer to execute the method according to any one of claims 1 to 6. 10. A computer program product, characterized in that it comprises a computer program, wherein when the computer program is executed by a processor, the computer program implements the method according to any one of claims 1 to 6.