Intelligent scheduling and attendance checking method and management system for medical laboratory

Abstract

The invention discloses a medical laboratory intelligent scheduling and attendance management system, which comprises a real-time camera shooting unit, a scheduling statistical unit, an intelligent sequencing unit, a data acquisition unit, a data transmission unit, a data storage unit, a data processing unit, a face attendance unit and a terminal monitoring unit, the data processing unit is used for processing and analyzing the information data stored in the data storage unit, obtaining a processed and analyzed scheduling addition result, integrating the sorting result of the intelligent sorting unit, scheduling laboratory workers who are sanitary and clean in the medical laboratory on that day, and forwarding the obtained scheduling result to the terminal monitoring unit; belongs to the technical field of scheduling attendance management. According to the system, the laboratory cleaning task load and the mental state of workers are comprehensively considered, and the problems of low efficiency and incomplete cleaning in a traditional single manual scheduling mode are solved. And through comprehensive judgment of the intelligent scheduling module and the scheduling addition index, reasonable configuration of the scheduling personnel is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of shift scheduling and attendance management, and more specifically discloses an intelligent shift scheduling and attendance method and management system for medical laboratories. Background Art

[0002] Medical laboratories, as the core positions for scientific exploration and clinical tests, the quality of their hygienic environments directly and profoundly affects the accuracy of test results and the physical and mental health of laboratory personnel. However, the traditional manual shift scheduling and attendance management mode is not only inefficient and time-consuming, but also significantly lacks comprehensive consideration of the cleaning workload in the laboratory and the mental outlook of personnel. Once facing the dual challenges of heavy cleaning tasks and poor mental state of personnel, it is extremely easy for the problem of incomplete cleaning in medical laboratories to emerge with only the shift cleaning arrangement of a single person, thus bringing an undeniable negative impact on the overall operation efficiency of the laboratory and the credibility of test data. Summary of the Invention

[0003] Object of the Invention: The object of the present invention is to solve the problems that the traditional manual shift scheduling and attendance management mode is not only inefficient and time-consuming, but also significantly lacks comprehensive consideration of the cleaning workload in the laboratory and the mental outlook of personnel. Once facing the dual challenges of heavy cleaning tasks and poor mental state of personnel, it is extremely easy for the problem of incomplete cleaning in medical laboratories to emerge with only the shift cleaning arrangement of a single person.

[0004] To solve the above technical problems, according to one aspect of the present invention, more specifically, an intelligent shift scheduling and attendance management system for medical laboratories includes: a real-time camera unit, a shift scheduling and statistics unit, an intelligent sorting unit, a data acquisition unit, a data transmission unit, a data storage unit, a data processing unit, a face attendance unit, and a terminal monitoring unit;

[0005] Real-time camera unit: used for real-time camera monitoring of the internal scene of the medical laboratory and laboratory staff;

[0006] Shift scheduling and statistics unit: used for counting the total number of times of medical laboratory cleaning shifts for each laboratory staff member, and sorting them from high to low according to the number of times;

[0007] Intelligent sorting unit: used for real-time camera monitoring of the internal scene of the medical laboratory and laboratory staff. When the number of shift scheduling times of the laboratory staff counted by the shift scheduling and statistics unit is the same, further sort them from more to less according to the number of strokes of the laboratory staff's names, and then arrange the initial order of the laboratory staff. The first one in the order is automatically confirmed as the initial shift scheduling personnel for the day, responsible for cleaning the hygiene of the medical laboratory;

[0008] Data acquisition unit: It is used to collect information data generated in the process of intelligent shift scheduling management for medical laboratories in real time;

[0009] Data transmission unit: It is used to transmit the information data collected by the data acquisition unit in real time;

[0010] Data storage unit: It is used to store the information data transmitted in real time by the data transmission unit;

[0011] Data processing unit: It is used to process and analyze the information data stored in the data storage unit, and obtain the scheduling addition result of the processing and analysis. At the same time, it integrates the sorting result of the intelligent sorting unit, schedules the laboratory staff for the daily medical laboratory hygiene cleaning, and forwards the obtained scheduling result to the terminal monitoring unit;

[0012] Face attendance unit: It is used to perform face recognition attendance on the determined scheduled staff by using face recognition attendance technology according to the final scheduling information of the intelligent scheduling module;

[0013] Terminal monitoring unit: It is used to display the information data stored in the data storage unit and the analysis result of the data processing unit in the background terminal in real time. At the same time, according to the scheduling result, it sends scheduling notice information to the laboratory staff determined to be scheduled on the same day.

[0014] Furthermore, during the process of counting the number of shifts, the shift scheduling statistical unit obtains the number of shifts for each laboratory staff by dividing the total number of scheduled days by the total number of staff to be scheduled. During the initial scheduling sorting process, the laboratory staff on leave or vacation are not included in the initial scheduling sorting.

[0015] Furthermore, the data acquisition unit includes: area acquisition module, image acquisition module, fatigue acquisition module, respiration acquisition module, and tiredness acquisition module;

[0016] Area acquisition module: It is used to collect information data on the contaminated area of medical equipment in the medical laboratory in real time;

[0017] Image acquisition module: It is used to collect information data on the gray scale of the images taken in the medical laboratory in real time;

[0018] Fatigue acquisition module: It is used to collect information data on the number of yawns of the initially scheduled staff in real time;

[0019] Respiration acquisition module: It is used to collect information data on the respiration rate of the initially scheduled staff in real time;

[0020] Tiredness acquisition module: It is used to collect information data on the eye opening and closing degree value of the initially scheduled staff in real time.

[0021] Furthermore, the data processing unit includes: a data acquisition module, an analysis and judgment module, an intelligent scheduling module, and a result forwarding module;

[0022] Data acquisition module: used to obtain the information data stored in the data storage unit in real time;

[0023] Analysis and judgment module: used to process and analyze the information data obtained by the data acquisition module, and obtain the result of the analysis and judgment;

[0024] Intelligent scheduling module: used to schedule the laboratory staff for the daily medical laboratory hygiene cleaning according to the scheduling addition result processed and analyzed by the analysis and judgment module, and at the same time, integrate the sorting result of the intelligent sorting unit;

[0025] Result forwarding module: used to forward the scheduling result passed by the intelligent scheduling module to the terminal monitoring unit.

[0026] Furthermore, the terminal monitoring unit includes: a data receiving module, a scheduling display module, and a scheduling notification module;

[0027] Data receiving module: used to receive the information data stored in the data storage unit and the analysis result information of the data processing unit in real time;

[0028] Scheduling display module: used to display the information data received by the data receiving module on the background terminal display screen in real time;

[0029] Scheduling notification module: used to send scheduling notification information to the staff scheduled on the same day according to the scheduling result of the intelligent scheduling module.

[0030] Furthermore, the analysis and judgment module can obtain the contaminated area of medical equipment in the medical laboratory and the gray-scale information data of the medical laboratory captured images from the data acquisition module, and analyze the cleaning task index of the medical laboratory through the data obtained above:

[0031]

[0032] Among them, clean is the cleaning task index of the medical laboratory, n is the number of medical equipment to be cleaned, S i is the contaminated area of the i-th medical equipment to be cleaned, S eLet the preset standard soiled area of medical equipment be \(S\), the horizontal length of the real-time monitoring video image inside the medical laboratory be \(M\), the vertical length of the real-time monitoring video image inside the medical laboratory be \(N\), \(final(x,y)\) be the gray value of the image at the point \((x,y)\) after the work in the medical laboratory is completed, and \(init(x,y)\) be the gray value of the image at the point \((x,y)\) after the medical laboratory was last cleaned.

[0033] Furthermore, the analysis and judgment module can obtain the information data of the yawning times, breathing times, and eye opening and closing degree values of the preliminary scheduled personnel from the data acquisition module, and analyze the mental state index of the preliminary scheduled personnel through the data obtained above:

[0034]

[0035] Among them, \(MS\) is the mental state index of the preliminary scheduled personnel, \(t\) is the information data acquisition duration, \(yawn_j\) j is the yawning times of the preliminary scheduled personnel at the \(j\)-th minute, \(yawn_{standard}\) e is the preset standard yawning times, \(R_j\) j is the breathing times of the preliminary scheduled personnel at the \(j\)-th minute, \(R_{standard}\) e is the preset standard breathing times, \(time\) is the total eye closing duration of the preliminary scheduled personnel within \(t\) time, \(Q\) is the total number of times for collecting eye opening and closing degree information data, \(ear_g\) g is the eye opening and closing degree value of the preliminary scheduled personnel at the \(g\)-th time.

[0036] Furthermore, the analysis and judgment module can obtain the soiled area information data of medical equipment in the medical laboratory from the data acquisition module, and analyze the scheduling addition index through the data obtained above:

[0037]

[0038] If \(add\geq\delta\), it means that a single preliminary scheduled personnel cannot efficiently complete the cleaning task of the medical laboratory. It is necessary to add the second person in the order determined by the intelligent sorting unit as a scheduled personnel according to the sorting order, and together with the first person in the order, they will be the scheduled personnel for the day and be responsible for the daily sanitation cleaning task of the medical laboratory. Among them, \(add\) is the scheduling addition index, \(time\) is the total eye closing duration of the preliminary scheduled personnel within \(t\) time, \(MS\) is the mental state index of the preliminary scheduled personnel, \(clean\) is the cleaning task index of the medical laboratory, \(S_{max}\) max is the maximum soiled area among \(n\) medical equipment to be cleaned, \(S_{min}\) min is the minimum soiled area among \(n\) medical equipment to be cleaned, and \(\delta\) is the preset threshold parameter for scheduling addition.

[0039] According to another aspect of the present invention, there is provided an intelligent scheduling and attendance method for medical laboratories, which is implemented based on the above-mentioned intelligent scheduling and attendance management system for medical laboratories, and specifically includes the following steps:

[0040] S1. Use the real-time camera unit to conduct real-time camera monitoring on the internal scene of the medical laboratory and laboratory staff;

[0041] S2. Use the scheduling statistics unit to count the total number of staff scheduling times, sort them from high to low according to the number of times, and then use the intelligent sorting unit to further sort them from more to less according to the number of strokes of the staff names;

[0042] S3. Use the data acquisition unit to collect in real time the contaminated area, image grayscale, yawning times, breathing times, and eye opening and closing degree information data of medical equipment in the medical laboratory for the initially scheduled personnel;

[0043] S4. Transmit and store the collected information data in real time, and conduct real-time analysis on the information data to obtain the scheduling addition result;

[0044] S5. The intelligent scheduling module determines the laboratory staff for the daily medical laboratory hygiene cleaning according to the scheduling addition result and integrates the sorting result of the intelligent sorting unit, and then forwards the determined scheduling result to the terminal monitoring unit;

[0045] S6. The terminal monitoring unit can display the determined scheduling personnel information on the background terminal display screen in real time. At the same time, it sends scheduling notice information to the staff determined to be scheduled on the same day, and conducts face recognition attendance after the determined scheduling personnel complete the scheduling work.

[0046] The beneficial effects of the intelligent scheduling and attendance method and management system for medical laboratories of the present invention are as follows: Through real-time camera monitoring, intelligent statistical sorting, multi-dimensional data collection and analysis, accurate evaluation and efficient scheduling of medical laboratory cleaning tasks are realized. The system comprehensively considers the laboratory cleaning task volume and the mental state of the staff, avoiding the problems of low efficiency and incomplete cleaning in the traditional single manual scheduling mode. Through the comprehensive judgment of the intelligent scheduling module and the scheduling addition index, the reasonable allocation of scheduling personnel is ensured, effectively improving the laboratory cleaning efficiency and hygiene quality. At the same time, the application of face attendance technology further strengthens the accuracy and convenience of attendance management. In addition, the automation and intelligence characteristics of the system also greatly reduce the cost and time consumption of manual scheduling management. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The present invention will be further described in detail below with reference to the drawings and specific implementation methods.

[0048] Figure 1 It is a schematic diagram of the system principle;

[0049] Figure 2 It is a schematic diagram of the method flow. Specific implementation manners

[0050] The present invention will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments. It should be noted that, without conflict, the embodiments in the present application and the features in the embodiments may be combined with each other.

[0051] According to one aspect of the present invention, as Figure 1-2 shown, a medical laboratory intelligent scheduling and attendance method and management system are provided. First, the internal scene of the medical laboratory and the laboratory staff are monitored by a real-time camera unit in real time. Then, the scheduling statistics unit counts the total number of times of cleaning scheduling for each laboratory staff in the medical laboratory and sorts them from high to low. During the process of counting the scheduling times, the total number of scheduling days is divided by the total number of staff to be scheduled to obtain the number of times each staff is scheduled. Then, when the scheduling times of the staff counted by the scheduling statistics unit are the same, the intelligent sorting unit further sorts them from more to less according to the number of strokes of the staff's names, so as to arrange the order of the preliminary scheduling of the staff. The first in the order is automatically confirmed as the preliminary scheduling staff for the day, responsible for cleaning the hygiene of the medical laboratory.

[0052] Then, through the area acquisition module, image acquisition module, fatigue acquisition module, respiration acquisition module and fatigue acquisition module in the data acquisition unit, the contaminated area of medical equipment in the medical laboratory, the gray scale of the medical laboratory captured images, the number of yawns, respiration times and eye opening and closing degree value information data of the preliminary scheduling staff are collected in real time.

[0053] Then, the information data collected is transmitted to the data storage unit in real time through the data transmission unit, and then through the data acquisition module in the data processing unit, the information data is obtained from the data storage unit. Further, the analysis and judgment module processes and analyzes the obtained information data in real time, and then obtains the scheduling addition result.

[0054] After that, the intelligent scheduling module determines the laboratory staff for the daily medical laboratory hygiene cleaning according to the scheduling addition result analyzed by the analysis and judgment module and integrates the sorting result of the intelligent sorting unit, and forwards the determined scheduling result to the terminal monitoring unit.

[0055] The shift display module of the terminal monitoring unit can display the determined shift personnel information in real time on the background terminal display screen. At the same time, the shift notification module will send shift notification information to the staff determined to be on shift on the same day. After the determined shift personnel complete the shift work, the face attendance unit, according to the final shift information of the intelligent shift module, uses face recognition attendance technology to conduct face recognition attendance on the determined shift staff.

[0056] The analysis and judgment module can obtain the contaminated area of medical equipment in the medical laboratory and the gray information data of the medical laboratory's captured images from the data acquisition module, and analyze the obtained data to obtain the cleaning task index of the medical laboratory:

[0057]

[0058] The closer the cleaning task index clean of the medical laboratory is to 0, the easier the cleaning task of the medical laboratory is. On the contrary, the more onerous the cleaning task of the medical laboratory is, and further, it may be necessary to add another staff member on the basis of a single preliminary shift personnel to clean the medical laboratory together. Among them, clean is the cleaning task index of the medical laboratory, n is the number of medical equipment to be cleaned, S is the contaminated area of the i-th medical equipment to be cleaned, S e is the preset contaminated area of the standard cleaning medical equipment, M is the horizontal length of the real-time monitoring video image inside the medical laboratory, N is the vertical length of the real-time monitoring video image inside the medical laboratory, final(x, y) is the gray value of the image at the point (x, y) after the work in the medical laboratory is completed, and init(x, y) is the gray value of the image at the point (x, y) after the medical laboratory was last cleaned cleanly. During the data collection process, the preset contaminated area S of the standard cleaning medical equipment e = 30, The horizontal length M of the real-time monitoring video image inside the medical laboratory = 16, and the vertical length N of the real-time monitoring video image inside the medical laboratory = 9. Therefore, clean≈1.31×0.83≈1.09, which indicates that the cleaning task of the medical laboratory is relatively onerous and further analysis is required to determine whether it is necessary to add another staff member on the basis of a single preliminary shift personnel to clean the medical laboratory together.

[0059] The analysis and judgment module can obtain the yawn count, breathing rate, and eye opening and closing degree value information data of the preliminary shift personnel from the data acquisition module, and analyze the obtained data to obtain the mental state index of the preliminary shift personnel:

[0060]

[0061] The larger the mental state index MS of the preliminary scheduled personnel, the worse the mental state of the preliminary scheduled personnel, which is likely to lead to a decrease in the efficiency of the preliminary scheduled personnel in cleaning the medical laboratory. Among them, MS is the mental state index of the preliminary scheduled personnel, t is the information data collection duration, and yawn j is the number of yawns of the preliminary scheduled personnel at the j-th minute, and yawn e is the preset standard number of yawns, and R j is the number of breaths of the preliminary scheduled personnel at the j-th minute, and R e is the preset standard number of breaths, time is the total eye closure duration of the preliminary scheduled personnel within t time, Q is the total number of times for collecting eye opening and closing degree information data, and ear g is the eye opening and closing degree value of the preliminary scheduled personnel at the g-th time. During the data collection process, the preset standard number of yawns yawn e = 7, The preset standard number of breaths R e = 18, The total eye closure duration time of the preliminary scheduled personnel within t time = 61.5, and the total number of times Q for collecting eye opening and closing degree information data is preset = 480, Therefore,

[0062] The analysis and judgment module can obtain the contaminated area information data of medical equipment in the medical laboratory from the data acquisition module, and obtain the scheduling addition index through the analysis of the data obtained above:

[0063]

[0064] If add ≥ δ, it means that a single preliminary scheduled personnel cannot efficiently complete the cleaning task of the medical laboratory. It is necessary to add and determine the second person in the order as the scheduled personnel according to the arrangement order of the intelligent sorting unit, and together with the first person in the order, become the scheduled personnel for the day, and jointly be responsible for the daily cleaning task of the medical laboratory. If add < δ, it means that a single preliminary scheduled personnel can efficiently complete the cleaning task of the medical laboratory, and there is no need to add additional scheduled personnel. Among them, add is the scheduling addition index, time is the total eye closure duration of the preliminary scheduled personnel within t time, MS is the mental state index of the preliminary scheduled personnel, clean is the cleaning task index of the medical laboratory, and S max is the maximum contaminated area among n medical equipment to be cleaned, and S minis the minimum contaminated area among n medical devices to be cleaned, and δ is the threshold parameter added for the preset shift scheduling. During the data collection process, the maximum and minimum contaminated areas among the n medical devices to be cleaned are respectively: S max = 1.21, S min = 0.25, and the preset threshold parameter δ added for the shift scheduling is δ = 3. Therefore, since 7.55 ≥ 3, it indicates that a single initially scheduled staff member cannot efficiently complete the cleaning task of the medical laboratory. It is necessary to add the second person in the order determined by the intelligent sorting unit as a scheduled staff member, who, together with the first person in the order, becomes the scheduled staff members for the day and is jointly responsible for the sanitation cleaning task of the medical laboratory on the same day. It should be added that each time a staff member completes the attendance for a scheduled cleaning, the total number of scheduled cleanings counted will be reduced by one accordingly.

[0065] The above-described embodiments merely represent one implementation mode of the present invention. The description is relatively specific and detailed, but it should not be construed as a limitation on the scope of the present invention patent. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several deformations and improvements can still be made, and these all fall within the protection scope of the present invention. Therefore, the protection scope of the present invention patent shall be subject to the appended claims.

Claims

1. A medical laboratory intelligent scheduling and attendance management system, characterized in that: include: Real-time camera unit, shift statistics unit, intelligent sorting unit, data acquisition unit, data transmission unit, data storage unit, data processing unit, face attendance unit and terminal monitoring unit; Real-time camera unit: used for real-time camera monitoring of the internal scenes of the medical laboratory and the laboratory staff; Scheduling statistics unit: used to count the total number of medical laboratory cleaning scheduling for each laboratory staff member, and sort them from high to low according to the number; Intelligent sorting unit: used for real-time monitoring of the internal scenes of medical laboratories and laboratory staff. When the number of shifts of laboratory staff counted by the shift scheduling statistics unit is the same, the laboratory staff will be further sorted from most to least according to the number of strokes in their names, and the laboratory staff will be arranged in the order of preliminary shifts. The first person in the order will be automatically confirmed as the preliminary shift staff for the day, responsible for cleaning the medical laboratory. Data collection unit: used for real-time collection of information data generated during the intelligent scheduling management of medical laboratories; Data transmission unit: used for real-time transmission of information data collected by the data collection unit; Data storage unit: used to store the information data transmitted in real time by the data transmission unit; Data processing unit: used to process and analyze the information data stored in the data storage unit, and obtain the scheduling and additional results of the processing and analysis. At the same time, it integrates the sorting results of the intelligent sorting unit, schedules the laboratory staff for medical laboratory hygiene and cleaning on that day, and forwards the obtained scheduling results to the terminal monitoring unit; Face attendance unit: used to perform face recognition attendance on the confirmed staff members according to the final shift information of the intelligent shift scheduling module using face recognition attendance technology; Terminal monitoring unit: used to display the information data stored in the data storage unit and the analysis results of the data processing unit in real time on the background terminal. At the same time, according to the scheduling results, the scheduling notification information is sent to the laboratory staff who have determined the schedule for the day.

2. According to claim 1, the intelligent scheduling and attendance management system for medical laboratories is characterized by: When counting the number of shifts, the shift statistics unit obtains the number of shifts for each laboratory staff member by dividing the total number of shift days by the total number of people to be scheduled. When the intelligent sorting unit sorts the preliminary shifts, laboratory staff members who are on leave or on vacation are not included in the preliminary shift sorting.

3. The intelligent scheduling and attendance management system for medical laboratories according to claim 2 is characterized in that: The data acquisition unit includes: an area acquisition module, an image acquisition module, a fatigue acquisition module, a breathing acquisition module and a tiredness acquisition module; Area collection module: used to collect the contaminated area information data of medical equipment in medical laboratories in real time; Image acquisition module: used for real-time acquisition of grayscale information data of images taken in medical laboratories; Fatigue collection module: used to collect yawning frequency information data of preliminary scheduled personnel in real time; Breathing collection module: used to collect the breathing information data of the preliminary scheduled personnel in real time; Fatigue collection module: used to collect the eye opening and closing value information data of the preliminary scheduled personnel in real time.

4. The intelligent scheduling and attendance management system for medical laboratories according to claim 3 is characterized by: The data processing unit includes: a data acquisition module, an analysis and judgment module, an intelligent scheduling module and a result forwarding module; Data acquisition module: used for real-time acquisition of information data stored in the data storage unit; Analysis and judgment module: used to process and analyze the information data obtained by the data acquisition module and obtain the results of analysis and judgment; Intelligent scheduling module: used to schedule additional shifts according to the results of the analysis and judgment module, and at the same time, integrate the sorting results of the intelligent sorting unit to schedule the laboratory staff responsible for the sanitation and cleaning of the medical laboratory on that day; Result forwarding module: used to forward the scheduling results obtained through the intelligent scheduling module to the terminal monitoring unit.

5. The intelligent scheduling and attendance management system for medical laboratories according to claim 4 is characterized by: The terminal monitoring unit includes: a data receiving module, a shift display module and a shift notification module; Data receiving module: used for receiving the information data stored in the data storage unit and the analysis result information of the data processing unit in real time; Scheduling display module: used to display the information data received by the data receiving module in real time on the background terminal display screen; Scheduling notification module: used to send scheduling notification information to the staff whose shifts are determined on that day according to the scheduling results of the intelligent scheduling module.

6. The intelligent scheduling and attendance management system for medical laboratories according to claim 5 is characterized by: The analysis and judgment module can obtain the contaminated area of ​​medical equipment in the medical laboratory and the grayscale information data of the images taken in the medical laboratory from the data acquisition module, and obtain the cleaning task index of the medical laboratory through the analysis of the above acquired data: Where clean is the cleaning task index of the medical laboratory, n is the number of medical equipment to be cleaned, S i is the contaminated area of ​​the i-th medical device to be cleaned, S e is the contaminated area of ​​the preset standard cleaning medical equipment, M is the horizontal length of the real-time monitoring video image of the inside of the medical laboratory, N is the vertical length of the real-time monitoring video image of the inside of the medical laboratory, final(x,y) is the grayscale value of the image at the point (x,y) after the work in the medical laboratory is completed, init(x,y) is the grayscale value of the image at the point (x,y) after the medical laboratory was cleaned last time.

7. The intelligent scheduling and attendance management system for medical laboratories according to claim 6 is characterized by: The analysis and judgment module can obtain the yawning frequency, breathing frequency and eye opening degree value information data of the preliminary scheduled personnel from the data acquisition module, and obtain the mental state index of the preliminary scheduled personnel through the analysis of the above acquired data: Among them, MS is the mental state index of the preliminary scheduling personnel, t is the information data collection time, yawn j is the number of yawns of the preliminary scheduled personnel in the jth minute, yawn e is the preset standard yawning frequency, R j is the number of breaths of the preliminary scheduled personnel in the jth minute, R e is the preset standard breathing number, time is the total eye closure time of the preliminary scheduled personnel within time t, Q is the preset total number of times the eye opening and closing degree information data is collected, ear g It is the eye opening and closing degree value of the personnel in the g-th preliminary shift scheduling.

8. The intelligent scheduling and attendance management system for medical laboratories according to claim 7 is characterized by: The analysis and judgment module can obtain the contaminated area information data of the medical equipment in the medical laboratory from the data acquisition module, and obtain the shift scheduling index through the analysis of the above acquired data: If add ≥ δ, it means that a single preliminary scheduled staff cannot efficiently complete the cleaning task of the medical laboratory. It is necessary to determine the second person in the order as a scheduled staff according to the arrangement order of the intelligent sorting unit, and together with the first person in the order, they become the scheduled staff of the day and are responsible for the sanitation cleaning task of the medical laboratory on that day. Among them, add is the scheduling addition index, time is the total eye closure time of the preliminary scheduled staff within time t, MS is the mental state index of the preliminary scheduled staff, clean is the cleaning task index of the medical laboratory, and S max is the maximum contaminated area among the n medical devices to be cleaned, S min is the minimum contaminated area among the n medical devices to be cleaned, and δ is a threshold parameter added in the preset shift schedule.

9. A medical laboratory intelligent scheduling and attendance method, characterized in that: The method is implemented based on a medical laboratory intelligent scheduling and attendance management system according to any one of claims 1 to 8, and specifically comprises the following steps: S1, real-time video monitoring of the internal scenes of the medical laboratory and the laboratory staff through the real-time video unit; S2. The total number of staff members' shifts is counted by the shift counting unit, and the staff members are sorted from high to low according to the number of shifts. Then, the intelligent sorting unit further sorts the staff members' names from high to low according to the number of strokes. S3. Through the data collection unit, the contaminated area of ​​medical equipment in the medical laboratory, image grayscale, the number of yawns, breathing times, and eye opening and closing degree information data of the preliminary scheduled personnel are collected in real time; S4, real-time transmission and storage of collected information data, and real-time analysis of the information data, thereby obtaining the scheduling and increase results; S5. The intelligent scheduling module finalizes the laboratory staff for sanitation and cleaning of the medical laboratory on that day based on the scheduling addition results and integrates the sorting results of the intelligent sorting unit, and then forwards the determined scheduling results to the terminal monitoring unit; S6. The terminal monitoring unit can display the confirmed scheduling personnel information in real time on the background terminal display screen. At the same time, it can send scheduling notification information to the staff who have confirmed the scheduling for the day, and perform face recognition attendance after the confirmed scheduling personnel complete the scheduling work.

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