Electronic work card information interaction and management system based on big data analysis

Abstract

The invention discloses an electronic work card information interaction and management system based on big data analysis, and relates to the technical field of employee management and Internet of Things. Comprising the following modules: an electronic work card terminal module including a staff management module, a positioning and historical track module, a scheduling management module, an attendance statistics module and an equipment management module; the internet-of-things management and data interaction module is used for automatically initializing after the electronic work card is started up, regularly acquiring module data, uploading and receiving the data in real time by an electronic work card terminal, and checking the working condition of an employee by a manager through a management terminal login system; calculating comprehensive working efficiency coefficients of the employees, classifying the comprehensive working efficiency coefficients, calculating a comprehensive suitability score in combination with various working factors of the employees, and allocating tasks to the most suitable employees based on a record and load allocation algorithm; an efficient cooperation tool is provided for employees, and digital transformation and refined operation of enterprises are promoted.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of employee management and Internet of Things, and particularly relates to an electronic worker card information interaction and management system based on big data analysis. BACKGROUND

[0002] With the development of Internet of Things technology, wearable devices such as electronic worker cards provide the possibility for real-time information interaction and management of employees.

[0003] In the traditional employee management mode, the acquisition of employee location information often depends on manual reporting or limited monitoring devices, and there are problems of untimely and inaccurate information. Moreover, the attendance management mostly adopts the traditional clock-in mode, and it is difficult to avoid cheating behaviors such as clocking in for others, and the statistical analysis of attendance data is relatively cumbersome. In terms of task allocation, there is a lack of efficient informationization means, and it is difficult to adjust according to the actual working conditions.

[0004] Therefore, an electronic worker card information interaction and management system based on big data analysis emerges as the times require. SUMMARY

[0005] The present application aims to at least solve one of the technical problems existing in the prior art; for this purpose, the present application proposes an electronic worker card information interaction and management system based on big data analysis, which is used to solve the following technical problems: In the traditional employee management mode, the acquisition of employee location information often depends on manual reporting or limited monitoring devices, and there are problems of untimely and inaccurate information. Moreover, the attendance management mostly adopts the traditional clock-in mode, and it is difficult to avoid cheating behaviors such as clocking in for others, and the statistical analysis of attendance data is relatively cumbersome. In terms of task allocation, there is a lack of efficient informationization means, and it is difficult to adjust according to the actual working conditions.

[0006] To solve the above problems, the present application provides an electronic worker card information interaction and management system based on big data analysis, which comprises the following modules: Electronic worker card terminal module: having multiple functional modules, including employee management module, positioning and historical trajectory module, shift management module, attendance statistics module, device management module, communication module data acquisition module, and display and interaction module, each module having corresponding functions; Internet of Things management and data interaction module: the electronic worker card is automatically initialized after starting, uploads employee basic information and device information to the data processing center, collects module data at regular intervals, and transmits real-time data to the data processing center through the communication module. The electronic worker card terminal uploads and receives data in real time, and the management personnel can view the employee's working conditions through the management terminal login system. Employee energy management and task scheduling module: integrate multi-source module data, based on historical trajectory and attendance data, through task efficiency and regional efficiency weighting addition to get comprehensive task efficiency coefficient, classify, use positioning and state data to dynamically track employee work progress, combine various factor amplitude to calculate comprehensive suitability score, distribute tasks to the most suitable employees through record-based and load-based distribution algorithm.

[0007] Preferably, the employee management module comprises: On the management terminal, the management personnel binds a designated electronic badge for each employee, establishing a unique correspondence between the employee and the electronic badge; During the binding process, the basic information of the employee is entered and associated with the identification code of the electronic badge, and stored in the database of the data processing center; The basic information includes the employee's name, mobile phone number, gender, project affiliation, team, and position.

[0008] Preferably, the positioning and historical trajectory module comprises: Through the GPS positioning technology installed on the electronic badge, the geographic position information of the employee is collected at a set time interval, and the geographic position information is transmitted to the data processing center in real time through the communication module; The data processing center processes and analyzes the geographic position information, and displays the geographic position of the employee on the map interface of the management terminal in combination with geographic information system technology; At the same time, the data processing center stores the received geographic position information uploaded by the electronic badge terminal according to the employee's identity and time sequence to form a historical trajectory database; When the management personnel checks the historical moving trajectory of the employee, the historical trajectory query function allows filtering and querying according to specific time range, employee name or work number conditions, and the system displays the moving trajectory of the employee in the selected time period in the form of a map trajectory line; The playback function simulates the historical moving process of the employee, and displays the trajectory changes in the actual time sequence; the positioning point query function allows the management personnel to click on any position on the trajectory line to obtain the positioning information of that point; the alarm function issues a warning prompt when an abnormal situation occurs in the historical trajectory of the employee.

[0009] Preferably, the scheduling management module comprises: The scheduling management module includes a scheduling record module, a shift management module, a work section management module, a layout details module, and a leave and shift adjustment module; The scheduling record module is used to manage the scheduling of all employees, including viewing scheduling information and performing various operations on the scheduling; The shift management module is used for planning, arranging and managing the working time of the employees. The work section management module is used for managing the work section of the employees, and simultaneously performing work section adding, modifying, deleting and exporting operations. The shift details module is used for the record statistics page of each day and each shift, and the manager can view the corresponding shift record by selecting the employee name, time and shift in the top. The leave and shift adjustment module is used for managing the leave or shift adjustment of the environmental sanitation workers.

[0010] Preferably, the attendance statistics module comprises: The manager views the clock-in record information of each employee on the management terminal, including the clock-in time, clock-in location, clock-in type, and sorts the clock-in record in time sequence; Meanwhile, the employee attendance record viewing function is provided, the clock-in situation, leave situation, shift adjustment situation and shift setting factors of the employee are comprehensively considered, and the attendance state of each employee in a specific time period is generated; The module also automatically generates the attendance statistics report of the employee at a fixed time every day, and the attendance situation of all employees on the same day is summarized and counted; and the monthly attendance statistics report of the employee is generated at the end of each month, wherein the monthly attendance statistics report comprises the overall situation statistics of the monthly attendance and the employee attendance data details.

[0011] Preferably, the device management module comprises: The administrator manages the Internet of Things devices related to the cleaning of the employees, including the registration, information input, state monitoring, fault alarm and device allocation functions of the electronic worker card, watch and flow card; The manager can monitor the working state, remaining power and flow usage of the device in real time through the module, and handle the abnormal device.

[0012] Preferably, the Internet of Things management and data interaction module comprises: The employee wears the electronic worker card to work, the electronic worker card terminal automatically starts and initializes, establishes a connection with the data processing center, and uploads the basic information of the employee and the state information of the electronic worker card; In the working process, the electronic worker card terminal collects the corresponding data at a set time interval, and transmits the data to the data processing center in real time through the communication module, at the same time, the electronic worker card terminal receives the information push from the data processing center, and displays the related information on the display screen, and the employee confirms through the key; The manager can view the real-time position, historical track, attendance statistics and shift information of the employee at any time after logging in the system on the management terminal.

[0013] Preferably, the employee energy efficiency management and task scheduling module comprises: Integrating multiple module data into a unified data warehouse with employee ID as the key index; According to the historical trajectory data, attendance data and task data of the employees, the comprehensive task efficiency coefficient of each employee is calculated, including task efficiency and area efficiency, and the employees are classified according to the comprehensive task efficiency coefficient by cluster analysis, including high efficiency, medium efficiency and low efficiency. The comprehensive task efficiency coefficient is obtained by weighting and adding the task efficiency and the area efficiency; Meanwhile, the employee positioning data and the working state data are used to monitor the working progress of the employees in real time, when a new task is generated, the comprehensive suitability score is calculated according to the current position of the employee, the emergency degree of the working task and the working efficiency factor of the employee, and the task is allocated to the most suitable employee through the record-based and load-based allocation algorithm.

[0014] Preferably, the comprehensive suitability score is calculated, including: According to the efficiency level, the corresponding score is given, including 3 points for high efficiency, 2 points for medium efficiency and 1 point for low efficiency; According to the task processing time, the task emergency degree is classified: if the task needs to be processed immediately, the task emergency degree is high, and the score is 3 points; if the task can be delayed but needs to be completed on the same day, the task emergency degree is medium, and the score is 2 points; if the task has no explicit time limit, the task emergency degree is low, and the score is 1 point; The comprehensive suitability score is obtained by simultaneously solving the efficiency level corresponding value, the distance proportion value, the allocated task value and the task emergency corresponding value with the corresponding weight; The comprehensive suitability score calculation formula is: Among them, The comprehensive suitability score is, The efficiency level corresponding value is, The distance from the employee to the new task is, The maximum allowable distance is, The number of tasks currently allocated to the employee is, The task emergency corresponding value is, , , And The corresponding weight coefficient is.

[0015] The beneficial effects of the present application are: The present application automatically initializes and uploads the employee and equipment information through the electronic badge terminal, reduces the manual input errors and workload, collects and transmits various data of the employees in real time through multiple modules, and uniformly checks the working state of the employees, the running state of the equipment and the task progress through the Internet of Things management terminal, so as to avoid the low efficiency caused by scattered management.

[0016] The present application objectively quantifies the work performance of employees by adding the task efficiency and regional efficiency empowerment to obtain a comprehensive task efficiency coefficient, provides dynamic tracking of employee work progress, avoids uneven task allocation and resource waste, improves the quality and efficiency of task completion by calculating a comprehensive suitability score and allocating tasks to the most suitable employees based on a record and load allocation algorithm, and optimizes the utilization rate of human resources. BRIEF DESCRIPTION OF DRAWINGS

[0017] Figure 1 The present application is a module flowchart. DETAILED DESCRIPTION

[0018] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0019] Please refer to Figure 1 The present application is an electronic badge information interaction and management system based on big data analysis, which includes the following modules: Electronic badge terminal module: with multiple functional modules, including employee management module, positioning and historical trajectory module, scheduling management module, attendance statistics module, equipment management module, communication module data acquisition module, and display and interaction module, each module has corresponding functions; Internet of Things management and data interaction module: the electronic badge automatically initializes after starting, uploads employee basic information and equipment information to the data processing center, collects module data at regular intervals, and transmits real-time data to the data processing center through the communication module, the electronic badge terminal uploads and receives data in real time, and the management personnel logs in the system through the management terminal to view the work situation of employees; Employee energy efficiency management and task scheduling module: integrates multi-source module data, based on historical trajectory and attendance data, obtains a comprehensive task efficiency coefficient by adding the task efficiency and regional efficiency empowerment, classifies, dynamically tracks employee work progress using positioning and state data, calculates a comprehensive suitability score based on multiple factor magnitudes, and allocates tasks to the most suitable employees through a record and load-based allocation algorithm.

[0020] In one embodiment of the present application, the employee management module includes: On the management terminal, the management personnel binds a designated electronic badge for each employee, establishing a unique correspondence between the employee and the electronic badge; In the binding process, the basic information of the employee is entered and associated with the identification code of the electronic work card and stored in the database of the data processing center. The basic information includes the name of the employee, the mobile phone number, the gender, the project to which the employee belongs, the group to which the employee belongs, and the position of the employee.

[0021] Specifically, in the system, the manager can add a new employee by clicking the add button, fill in the basic information of the employee in the newly popped-up page, such as the name, the mobile phone number, the gender, the project to which the employee belongs, the group to which the employee belongs, and the position, click save to complete the addition of the user, and can edit or delete the basic information of the existing employee, and when the modification in the right operation is clicked, the name, the mobile phone number, the gender of the user, the project to which the employee belongs, the group to which the employee belongs, and the position can be edited in the pop-up window. The following is an introduction to all the data: the name of the employee: the real name of the sanitation worker, which is displayed in all places related to the sanitation worker; the mobile phone number: the mobile phone number left by the sanitation worker in the background, which is used to contact the sanitation worker and determine the uniqueness of the sanitation worker; the gender of the employee: the gender of the sanitation worker; the project to which the employee belongs: the sanitation project where the sanitation worker is located; the group to which the employee belongs: the sanitation group to which the sanitation worker is assigned; the position: the position of the sanitation worker, including sanitation worker, cleaning worker, team leader, fast protection, and oil stain worker.

[0022] In one embodiment of the present application, the positioning and historical trajectory module comprises: The GPS positioning technology installed on the electronic work card is used to collect the geographic position information of the employee at a set time interval, and the geographic position information is transmitted to the data processing center in real time through the communication module; The data processing center processes and analyzes the geographic position information, and displays the geographic position of the employee on the map interface of the management terminal in combination with the geographic information system technology; Meanwhile, the data processing center stores the geographic position information uploaded by the electronic work card terminal according to the employee identity and time sequence to form a historical trajectory database; When the manager checks the historical moving trajectory of the employee, the historical trajectory query function allows the selection and query according to the specific time range, the name or the work number of the employee, and the system displays the moving trajectory of the employee in the selected time period in the form of a map trajectory line. The play function simulates the historical moving process of the employee, displays the trajectory change according to the actual time sequence; the positioning point query function allows the manager to click any position on the trajectory line to obtain the positioning information of the point; and the alarm function issues a warning prompt when an abnormal situation occurs in the historical trajectory of the employee.

[0023] Specifically, the electronic worker card automatically connects the data processing center after starting, uploads the basic information such as the worker number and the equipment ID; the GPS module is started every 10 seconds according to the preset time interval, the geographic position information including the longitude and latitude and the time stamp is collected, and the data is packaged into the format of {worker number, time, longitude and latitude, signal strength} through the communication module, and is uploaded to the data center in real time; the geographic position data uploaded by the terminal is analyzed, and is stored in the temporary cache queue; the cache data is periodically written into the historical trajectory database, is indexed according to the worker number + date, and is stored as a time sequence; the management personnel input the account password, log in the system, and enter the map monitoring interface; the system automatically marks the real-time positions of all workers on the map; by clicking the icon of a single worker, an information box is popped up to display the worker's name, the current positioning address, the latest positioning time and the equipment state; the historical trajectory is selected in the navigation bar of the management terminal, the query page is entered, the query conditions are set, including the mandatory conditions and the optional conditions, the mandatory conditions are the selection of the start time and the end time, and the optional conditions are the worker and the place; the query button is clicked; the system extracts the data meeting the conditions from the database, draws the worker's moving trajectory line on the map, marks the key nodes beside the trajectory line, and synchronously displays the trajectory point table, including the time, the longitude and latitude, the address and the stay duration; the play button is clicked; the system simulates the worker's moving process; the trajectory line is gradually highlighted; the speed can be adjusted, for example, the normal speed, 2 times speed and the like; a point on the trajectory line is clicked; the detailed information of the moment is popped up, including the time, the longitude and latitude, the address, the stay market and the associated task; the system automatically triggers the alarm according to the preset rules, including the worker exceeding the electronic fence, the long stay time, the deviation from the specified route, marks the worker in alarm on the map with a flashing icon, and pushes the pop-up window prompt.

[0024] In one embodiment of the present application, the shift management module comprises: The shift management module comprises a shift record module, a shift management module, a work section management module, a shift detail module and a leave and shift adjustment module. The shift record module is used for managing the shift of all workers, including viewing the shift information and performing various operations on the shift. The shift management module is used for planning, arranging and managing the working time of workers. The work section management module is used for managing the work section of workers, and simultaneously performing the operations of adding, modifying, deleting and exporting the work section. The shift detail module is used for the record statistics page of each shift per day; the management personnel can select and view the corresponding shift record by selecting the worker's name, time and shift in the top. The leave and shift adjustment module is used for managing the shift change of the leave or shift of the sanitation worker.

[0025] Specifically, after logging into the management terminal, select "Schedule Records" in the "Schedule Management" section of the navigation bar. Set filter conditions to search by date range, department, and employee name. The current list can be exported to Excel or PDF. The table displays information such as employee name, employee ID, shift name, scheduled date, work route, and working hours, and uses color coding to indicate abnormal statuses: red for leave and yellow for shift changes. Click "Add Schedule," select employees and shifts, assign work routes, set the effective date, and save. It also has functions for modifying and deleting schedules. Enter the "Schedule Management" module, select "Shift Management," which includes functions for adding and editing shifts, and allows you to view the schedule. The system supports batch assignment of shifts to multiple employees; the work section management module includes functions such as adding, modifying, deleting, and exporting work sections; the shift details module allows users to enter employee names in the top search box, select shifts to query, and view the employee's daily shift records in a table, including work sections, working hours, and equipment status; clicking the map view shows the distribution of employee work sections in the geographic information system; employees can access the leave and shift adjustment module through their electronic ID card terminal, select the leave type, fill in the reason, and submit. Managers can see the pending items in the leave and shift adjustment module, click to process, and select to approve or reject, which is then pushed to the electronic ID card screen.

[0026] In one embodiment of the present invention, the attendance statistics module includes: Managers can view each employee's attendance record information on the management terminal, including attendance time, attendance location, attendance type, and sort the attendance records in chronological order. It also provides an employee attendance record viewing function, which takes into account factors such as employee clock-in status, leave status, shift change status and shift settings to generate the attendance status of each employee within a specific time period. This module also automatically generates employee attendance statistics reports at fixed times every day, summarizing and statistically analyzing the attendance of all employees for that day; and generates monthly employee attendance statistics reports at the end of each month, which include overall attendance statistics for the month as well as detailed employee attendance data.

[0027] Specifically, administrators log into the management terminal, select "Attendance Management" and then "Clock-in Records" in the navigation bar, and set filter conditions. The default sorting rule is ascending order by clock-in time, but secondary sorting by employee name or access type is supported. Clicking on a clock-in record brings up a details box displaying the clock-in time, clock-in type, and device information. Selecting "Attendance Management" in the navigation bar and then "Attendance Status Inquiry," the system sets the query time and employee range. The system automatically calculates the rules: Normal Attendance: Both clock-in and clock-out are within the shift's stipulated time, and there are no leave or shift change records; Late / Early Departure: Clocking in after the shift start time is marked as late, and clocking out before the shift end time is marked as early. Early departure; Missed clock-in / out: No clock-in or clock-out detected; Leave / shift change: If there are approved leave or shift change records, the original shift status will be overwritten; The table displays an attendance summary for each employee, including attendance days, number of late arrivals, number of early departures, number of missed clock-ins, leave duration, and status tag. Clicking on details will show the daily details; At 12:00 every day, the system automatically compiles the attendance data of all employees, generates a daily report file, and stores it in the daily attendance folder in the report center; On the last day of each month, the system summarizes all attendance data for the month, generates a monthly report file, and stores it in the monthly attendance folder as well; Managers can enter the monthly report editing interface, manually correct erroneous data, and regenerate the report.

[0028] In one embodiment of the present invention, the device management module includes: Manage IoT devices related to employee cleaning, including registration, information entry, status monitoring, fault alarms, and device dispatch functions for electronic name tags, watches, and data cards; This module allows administrators to monitor the device's operating status, remaining battery power, and data usage in real time, and to address any abnormal devices.

[0029] Specifically, administrators log in to the management terminal, select Device Management in the navigation bar to register devices, click Add Device, select the device type, enter the device ID, bind the employee, and save; click Add Data SIM Card, enter the SIM card number, select the operator, set the data plan, bind the device, and save; download the template Excel file, fill in the device ID, type, and employee information, upload it to the system, and the system will automatically match and complete the registration; enter the monitoring page, click Status Monitoring in Device Management, filter by device type, department, and online status, and support fuzzy search; the monitoring data displays the remaining battery, signal strength, and location status of the electronic employee badge, the heart rate detection, movement trajectory, and emergency alarm button status of the watch, and the existing data, remaining data, and signal type of the data SIM card; the status indicators are green = normal, yellow = low battery (<20%), and red = offline / faulty; clicking on a device will pop up a details page, displaying basic device information, real-time data, and historical records.

[0030] In one embodiment of the present invention, the IoT management and data interaction module includes: When employees wear electronic name tags to work, the electronic name tag terminal automatically turns on and initializes, establishes a connection with the data processing center, and uploads the employee's basic information and the status information of the electronic name tag. During the work process, the electronic work badge terminal collects corresponding data at set time intervals and transmits it to the data processing center in real time through the communication module. At the same time, the electronic work badge terminal receives information push from the data processing center and displays relevant information on the screen. Employees confirm the information by pressing a button. After logging into the system on the management terminal, managers can view employees' real-time location, historical trajectory, attendance statistics, and shift information at any time.

[0031] Specifically, after an employee puts on their electronic work badge, the device automatically starts. The initialization process includes device self-testing and connecting to the data processing center. Connecting to the data processing center involves sending the device ID to the server via 4G / 5G or Wi-Fi, the server verifying the device's legitimacy, and uploading data, including basic employee information and device status information. Data is collected at set intervals, defaulting to every 5 minutes (configurable). The data is uploaded to the data processing center via the MQTT protocol. The data processing center issues a notification, the electronic work badge screen lights up, and the employee presses the button on the side of the work badge, receiving a "confirmed" message from the data processing center. Administrators open a browser, enter the management terminal address, username, and password, select the permission scope, and switch between map mode and list mode in the real-time monitoring navigation bar. The map mode displays the location of all online work badges, marked with different colors. Status indicators: green for normal, red for offline. Clicking a single icon will pop up a card displaying employee information, current location, and latest reporting time. List mode allows filtering employees by department or region to view real-time status, such as location, battery level, and signal strength. Historical trajectory query includes accessing the historical trajectory page, selecting employee / department, filtering by time range, generating a trajectory map showing the movement path, and exporting a trajectory report for analyzing work route compliance. Attendance management allows clicking on statistical reports, selecting a time range (e.g., this month), and automatically summarizing attendance days, number of late / early departures, missed clock-ins, and abnormal records. Clicking details displays attendance records for specific dates (e.g., October 5th), with a 10-minute time delay for the region. Scheduling management allows selecting a department / employee to view the schedule and compare actual trajectories with the schedule plan.

[0032] In one embodiment of the present invention, the employee energy efficiency management and task scheduling module includes: Using employee ID numbers as the key index, data from multiple modules is integrated into a unified data warehouse; Based on employees' historical trajectory data, attendance data, and task data, calculate the comprehensive task efficiency coefficient for each employee's work, including task efficiency and regional efficiency. Use cluster analysis to classify employees according to their comprehensive task efficiency coefficient, including high efficiency, medium efficiency, and low efficiency. The comprehensive task efficiency coefficient is obtained by weighted addition of task efficiency and regional efficiency; Simultaneously, by utilizing employee location data and work status data, the system monitors employee work progress in real time. When a new task arises, a comprehensive suitability score is calculated based on the employee's current location, the urgency of the task, and the employee's work efficiency. The task is then assigned to the most suitable employee through a record-based and load-based allocation algorithm.

[0033] Specifically, the data modules include employee basic information, historical trajectory data, attendance data, work status data, and task data, using the employee's employee ID as a unique identifier to link all module data. Data is exported from each module, missing values ​​are processed, time formats are standardized, and duplicate data is removed, leading to data warehouse modeling. The comprehensive task efficiency coefficient is standardized using Z-score and the K-means algorithm: through multiple runs, three points are randomly selected as initial centers, and each data point is assigned to the nearest cluster center until the cluster centers no longer change. Based on the clustering results, the cluster centers are sorted according to their original values, with the highest center marked as efficient, the middle center as moderately efficient, and the lowest center as inefficient. The clustering results are then written to the employee table. A new field, efficiency level, is added. When a new task is generated, the algorithm inputs parameters including employee characteristics: current location, overall efficiency coefficient, and current load. Current load includes the number of assigned tasks, device battery level, and online status. Task characteristics include urgency and region. Filtering conditions are set as follows: device online and battery level > 40%, efficiency level ≥ medium, and current location within 5 kilometers of the task area. The overall suitability score for all employees is calculated, and the scores are sorted from highest to lowest. The employee with the highest score is selected as the most suitable employee, and the task is marked as "assigned" in the task table, associated with the employee's employee ID, and the task information is pushed to the employee's electronic ID card. The formula for calculating the overall task efficiency coefficient is: in, The overall task efficiency coefficient. The number of tasks completed by employees. Total task time, The number of tasks completed in a certain region. The total time spent in this area. and For the corresponding weighting coefficients, and The values ​​are 0.6 and 0.4, respectively.

[0034] In one embodiment of the present invention, the calculation of the comprehensive suitability score includes: Efficiency levels are assigned corresponding scores, with high efficiency at 3 points, medium efficiency at 2 points, and low efficiency at 1 point. Task urgency is categorized based on processing time: If a task requires immediate processing, it is considered high urgency and receives 3 points; if a task can be delayed but must be completed on the same day, it is considered medium urgency and receives 2 points; if a task has no specific time limit, it is considered low urgency and receives 1 point. A comprehensive suitability score is obtained by combining the efficiency level corresponding value, distance ratio value, task allocation value, and task urgency corresponding value with the corresponding weights. Overall suitability score calculation formula: in, To assess overall suitability, This corresponds to the efficiency level value. The distance for employees to reach their new tasks. For the maximum permissible distance, The number of tasks currently assigned to employees. This is the emergency response value for the task. , , and These are the corresponding weighting coefficients, with values ​​of 0.5, 0.3, 0.2, and 0.1 respectively.

[0035] Specifically, the system calculates the comprehensive task efficiency coefficient for each employee. This coefficient is a digital representation of the employee's work efficiency. The system obtains the comprehensive task efficiency coefficient of all employees and uses it as input data. Through a clustering algorithm, the system automatically divides these data points into three naturally clustered groups. The algorithm automatically determines the center point of each group and which group each employee belongs to. After clustering, the system defines these three groups as: high-efficiency, medium-efficiency, and low-efficiency employee groups, i.e., three efficiency levels, and assigns corresponding scores, including 3 points for high efficiency, 2 points for medium efficiency, and 1 point for low efficiency.

[0036] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.

Claims

1. An electronic pass information interaction and management system based on big data analysis, characterized in that, The electronic badge terminal module comprises a plurality of function modules, including an employee management module, a positioning and historical track module, a shift management module, an attendance statistics module, a device management module, a communication module data acquisition module, and a display and interaction module, each of which has a corresponding function. The Internet of Things management and data interaction module automatically initializes after the electronic badge is turned on, uploads employee basic information and device information to the data processing center, collects module data at regular intervals, and transmits real-time data to the data processing center through the communication module. The electronic badge terminal uploads and receives data in real time, and the management personnel can view the work of employees through the management terminal. The employee energy efficiency management and task scheduling module integrates multi-source module data, calculates the comprehensive task efficiency coefficient based on historical track and attendance data, and classifies the employees according to the task efficiency and regional efficiency weighting. The positioning and state data are used to dynamically track the work progress of employees, and the comprehensive suitability score is calculated based on multiple factors. The task is allocated to the most suitable employee through a distribution algorithm based on records and loads. The employee management module comprises:

2. The big data analytics based electronic pass information interaction and management system according to claim 1, wherein, On the management terminal, the management personnel binds a designated electronic badge for each employee, establishing a unique correspondence between the employee and the electronic badge. During the binding process, the basic information of the employee is entered and associated with the identification code of the electronic badge, and stored in the database of the data processing center. The basic information includes the employee's name, mobile phone number, gender, project affiliation, team, and position. The positioning and historical track module comprises: 3.The electronic pass information interaction and management system based on big data analysis of claim 1, wherein, The GPS positioning technology installed on the electronic badge collects the geographic location information of the employee at a set time interval, and transmits the geographic location information to the data processing center in real time through the communication module. The data processing center processes and analyzes the geographic location information, and displays the geographic location of the employee on the map interface of the management terminal based on geographic information system technology. At the same time, the data processing center stores the received geographic location information uploaded by the electronic badge terminal according to the employee's identity and time sequence to form a historical track database. When the management personnel views the historical moving track of the employee, the historical track query function allows the selection and query according to the specific time range, employee name or work number, and the system displays the moving track of the employee in the selected time period in the form of a map track line. The playback function simulates the historical moving process of the employee and displays the track changes in the actual time sequence. The positioning point query function allows the management personnel to click on any position on the track line to obtain the positioning information of that point. The alarm function issues a warning prompt when an abnormal situation occurs in the historical track of the employee. The shift management module comprises:

4. The big data analytics based e-pass information interaction and management system according to claim 1, wherein, The shift management module includes a shift record module, a shift management module, a work section management module, a layout detail module, and a leave and shift adjustment module. The shift record module is used to manage the scheduling of all employees, including viewing scheduling information and performing various operations on scheduling. The shift management module is used to plan, arrange and manage the working hours of employees. ​ The work section management module is used for management of work sections of employees, and simultaneously performs work section adding, modifying, deleting and exporting operations; The scheduling details module is used for a record statistics page of each day and each scheduling, and a management personnel selects to view corresponding scheduling records through selection of an employee name, a time and a shift on the top; The leave and shift adjustment module is used for management of leave or shift adjustment of the sanitation workers.

5. The big data analytics based e-pass information interaction and management system according to claim 1, wherein, The attendance statistics module comprises: A management personnel views punch record information of each employee on a management terminal, including punch time, punch location, punch type, and sorts the punch record in time sequence; Meanwhile, an employee attendance record viewing function is provided, and an attendance state of each employee in a specific time period is generated by comprehensively considering punch conditions, leave conditions, shift adjustment conditions and shift setting factors of the employee; The module also automatically generates an employee attendance statistics report at a fixed time every day, and performs summary statistics on attendance conditions of all employees on the day; and generates an employee monthly attendance statistics report at the end of each month, wherein the monthly attendance statistics report comprises monthly overall attendance statistics and employee attendance data details.

6. The big data analytics based e-pass information interaction and management system according to claim 1, wherein, The device management module comprises: An administrator registers, inputs information, monitors a state, alarms a fault and allocates a device for an Internet of Things device related to employee cleaning, including an electronic badge, a watch and a flow card; A management personnel monitors a working state, a remaining power and flow usage of the device in real time through the module, and processes an abnormal device.

7. The big data analytics based e-pass information interaction and management system according to claim 1, wherein, The Internet of Things management and data interaction module comprises: An employee wears an electronic badge to work, the electronic badge terminal automatically starts and initializes, and establishes a connection with a data processing center, and uploads basic information of the employee and state information of the electronic badge; In a working process, the electronic badge terminal collects corresponding data at a set time interval, and transmits the data to the data processing center in real time through a communication module, simultaneously, the electronic badge terminal receives information push from the data processing center, and displays relevant information on a display screen, and the employee confirms through a key; A management personnel logs in the system on a management terminal, and views real-time positions, historical trajectories, attendance statistics and scheduling information of the employee at any time.

8. The big data analytics based e-pass information interaction and management system according to claim 1, wherein, The employee energy efficiency management and task scheduling module comprises: A plurality of module data are integrated into a unified data warehouse with an employee ID as a key index; According to historical trajectory data, attendance data and task data of the employee, a comprehensive task efficiency coefficient of each employee is calculated, including task efficiency and area efficiency, and the employee is classified according to the comprehensive task efficiency coefficient by using clustering analysis, including high efficiency, medium efficiency and low efficiency; The comprehensive task efficiency coefficient is obtained by adding the task efficiency and the area efficiency with weighting; Meanwhile, employee positioning data and working state data are used to monitor working progress of the employee in real time, when a new task is generated, a comprehensive suitability score is calculated according to a current position of the employee, an emergency degree of the working task, an employee working efficiency factor, and the task is allocated to the most suitable employee by using a record and load based allocation algorithm. 9.The electronic pass information interaction and management system based on big data analysis of claim 8, wherein, The calculation of the comprehensive suitability score comprises: According to the efficiency level, the corresponding score is given, including high efficiency for 3 points, medium efficiency for 2 points, and low efficiency for 1 point; According to the task processing time, the task urgency is classified: if the task needs to be processed immediately, the task urgency is high, and the score is 3 points; if the task can be delayed but needs to be completed on the same day, the task urgency is medium, and the score is 2 points; if the task has no explicit time limit, the task urgency is low, and the score is 1 point; Through the efficiency level corresponding value, the distance proportion value, the allocated task value, and the task urgency corresponding value, the comprehensive suitability score is obtained by combining the corresponding weights; The comprehensive suitability score calculation formula is: wherein, is a comprehensive suitability score, is an efficiency level corresponding value, is a distance of the employee to the new task, is a maximum allowed distance, is a number of currently assigned tasks of the employee, is a task urgency corresponding value, , , and are corresponding weight coefficients.

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