Event-driven dynamic perception multi-subject progressive intelligent assessment scheduling system and method
Through the event-driven dynamic perception of multi-subject progressive intelligent assessment and scheduling system, the status of candidates and examination stations is collected and dynamically dispatched in real time, solving the problems of high response delays, low resource utilization and frequent cross-subject conflicts in the existing technology, and achieving efficient and intelligent assessment scheduling and user experience improvement.
Patent Information
- Application Number
- CN202510385061.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-28
- Publication Date
- 2025-06-24
AI Technical Summary
The existing technology has problems such as high response delay, low resource utilization, frequent cross-subject conflicts and high dependence on manual intervention in large-scale multi-subject assessments, which cannot meet the needs of efficient and intelligent assessment and scheduling.
It provides an event-driven dynamic perception multi-subject progressive intelligent assessment and scheduling system, including a state perception layer, an intelligent scheduling layer and an information display layer. Data is collected in real time through the UWB positioning module and the examination station status sensing module, the dynamic scheduling engine calculates the candidate's priority, and the event-driven controller monitors and controls the examination station and the examination station status to ensure that the candidates are assessed in order.
Significantly reduce response delay, effectively reduce path conflict rate, significantly improve resource utilization, save labor costs, enhance cross-subject sequence control capabilities, and improve user experience.
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Figure CN120198261A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of intelligent scheduling, and particularly to an event-driven dynamic perception multi-subject progressive intelligent assessment scheduling system and method. Background Art
[0002] In examination scenarios with strict subject progression relationships such as multi-station medical skills assessment (OSCE) and engineering class hierarchical practical certification; with the expansion of the examination scale and the increase in the number of examination subjects, the requirements for intelligent assessment scheduling systems are also getting higher and higher.
[0003] Deficiencies of the prior art: 1. High response latency: The prior art uses a fixed-time polling mechanism in the examination station and cannot respond to changes in the examination station status in real time. For example, CN109993620A conducts assessments at fixed times (such as 10 minutes). Even if the candidate has completed the assessment and left the examination station, the examination station cannot be immediately utilized, resulting in low utilization rate of the examination station.
[0004] 2. Low resource utilization rate: Traditional systems use fixed-time scheduling, resulting in a high idle rate of examination stations. For example, some candidates may complete the exam and leave the examination station in advance, but the next candidate must wait until the preset time ends to use the examination station, and the examination station resources cannot be dynamically utilized.
[0005] 3. Frequent cross-subject conflicts: The prior art cannot effectively confirm whether the candidate has completed the previous subject exam, resulting in a high subject jump rate. For example, the single queue scheduling model of CN112365430A leads to a cross-subject candidate flow conflict rate exceeding 60%.
[0006] 4. High dependence on manual intervention: Some of the prior art relies on manual status confirmation, resulting in a long response latency. For example, the system mentioned in the literature "Research on Intelligent Scheduling of Examination Centers" has an average response latency of up to 4.5 minutes and cannot process changes in examination station status and candidate flow in a timely manner.
[0007] In summary, the prior art has problems such as high response latency, low resource utilization rate, frequent cross-subject conflicts, and high dependence on manual intervention in large-scale multi-subject assessments, and cannot meet the requirements of efficient and intelligent assessment scheduling.
[0008] Therefore, the prior art has deficiencies and needs further improvement. Summary of the Invention
[0009] In view of the problems existing in the prior art, the present invention provides an event-driven dynamic perception multi-subject progressive intelligent assessment scheduling system and method.
[0010] To achieve the above object, the specific solutions of the present invention are as follows: The present invention provides an event-driven dynamic perception multi-subject progressive intelligent assessment scheduling system, which includes: A status perception layer for real-time collection of real-time status data of examinees and test stations, including the location of examinees, examination status, and the usage status of test stations; An intelligent scheduling layer for making dynamic scheduling decisions based on the collected status data, including a dynamic scheduling engine and an event-driven controller; An information display layer for providing real-time assessment information and guidance to examinees, including an information release module, a monitoring and recording module, and an examinee bracelet; Among them, the dynamic scheduling engine includes a priority calculation module that calculates the examinee priority in real time through a formula. The formula is:
[0011] Among them, P_i is the examinee priority; α is the time urgency coefficient (default 0.6); t_c is the current time; t_e is the time of entering the waiting examination area; β is the resource (test station) pressure coefficient (default 0.4); w_j is the number of examinees waiting at the target test station, W_max is the maximum capacity of the target test station.
[0012] Furthermore, the status perception layer includes: A UWB positioning module for managing UWB base stations and each location management, obtaining relevant positioning information, and the positioning accuracy reaches 50 cm; A test station status sensing module for monitoring the submission of scores by the examiner tablet in the station and the information of examinees leaving the station, and switching the test station status, including: idle, in use, and faulty.
[0013] Furthermore, the event-driven controller is used to monitor the test station status and examinee status, control the examination order of examinees and the allocation of test stations for subjects, and handle abnormal situations, including: When the test station status becomes idle, trigger the dynamic scheduling engine to generate a scheduling instruction; When it is detected that an examinee does not take the examination in order, immediately send a warning prompt to the examinee's bracelet and the examiner's terminal, and the monitoring and recording module starts the recording function and saves video evidence.
[0014] Furthermore, the information display layer provides real-time assessment information and guidance to examinees through an information release screen and an examinee bracelet, including call numbers and path guidance, Among them, the information release screen displays the call number information, examination subject, and test station location of the examinee, and the examinee bracelet receives real-time assessment, guidance information, and warning vibrations.
[0015] The present invention also provides an event-driven dynamic perception multi-subject progressive intelligent assessment scheduling method. Based on the above system, the method includes the following steps: S1. Use the status perception layer to collect the real-time status data of candidates and test stations in real time, including the location of candidates, the examination status, and the usage status of test stations; S2. Based on the collected status data, the intelligent scheduling layer monitors the status changes of test stations through an event-driven controller; S3. When the status of a test station becomes idle, the dynamic scheduling engine calculates the priority of candidates according to the time urgency coefficient α and the resource pressure coefficient β, and generates a scheduling instruction; S4. The information display layer provides real-time assessment information and guidance to candidates through an information release screen and a candidate bracelet. Candidates go to the corresponding test stations for assessment according to the guidance; S5. Through a dual verification mechanism of electronic score submission and UWB geofencing, ensure that candidates conduct assessments in the specified subject order; S6. In case of an abnormal situation, the event-driven controller calls the information release module and the monitoring and recording module for processing. The examiner can enter the exclusive password of the examiner on the tablet to switch the system to the manual mode to ensure the smooth progress of the examination. When the system returns to normal, it automatically switches back to the automatic mode.
[0016] Further, in step S1, the step of using the status perception layer to collect the real-time status data of candidates and test stations in real time includes: Use the UWB positioning module to obtain the location information of candidates in real time, and the positioning accuracy reaches 50 cm; Use the test station status sensing module to monitor the usage status of test stations, including idle, in-use, and faulty statuses.
[0017] Further, in step S3, in the step where the dynamic scheduling engine calculates the priority of candidates according to the time urgency coefficient α and the resource pressure coefficient β, the values of the time urgency coefficient α and the resource pressure coefficient β can be adjusted according to different examination types to meet the requirements of different examinations.
[0018] Further, in step S4, the step of the information display layer providing real-time assessment information and guidance to candidates through an information release screen and a candidate bracelet includes: The information release screen displays the call number information, examination subjects, and test station locations of candidates to ensure that candidates can obtain accurate examination information in a timely manner; The candidate bracelet receives real-time assessment, guidance information, and warning vibrations to guide candidates to the corresponding test stations, improving the efficiency and order of the examination.
[0019] Further, in step S5, in the step of double verification mechanism through electronic score submission and UWB geofencing, it includes: Detect whether the candidate has completed the previous subject exam. The detection methods include whether the examiner submits the electronic score sheet and whether the UWB detection bracelet leaves the exam station; Only when the previous subject is completed, the candidate is allowed to enter the waiting area for the next subject to ensure the correctness of the exam sequence.
[0020] Further, in step S6, in the step where the event-driven controller calls the information publishing module and the monitoring recording and broadcasting module for processing when an abnormal situation occurs, it includes: When it is detected that the candidate does not take the exam in sequence, the information publishing module immediately issues a warning prompt to the candidate's bracelet and the examiner's terminal. The monitoring recording and broadcasting module starts the recording function and saves video evidence for subsequent analysis and processing.
[0021] Adopting the technical solution of the present invention has the following beneficial effects: 1. Significantly reduce response latency: By replacing the traditional polling mechanism with the event-driven mechanism, the response latency of the exam station status is reduced from ≥30 seconds to ≤0.3 seconds. This enables the system to respond more quickly to changes in the exam station status and improves the overall scheduling efficiency.
[0022] 2. Effectively reduce the path conflict rate: Introduce a double geofencing constraint mechanism (electronic score submission and UWB positioning verification), reducing the path conflict rate from 67.2% to 0.3%. This method ensures that candidates take the exam in the correct sequence and path, reducing congestion caused by cross-movement.
[0023] 3. Greatly improve resource utilization: The application of the dynamic priority weight model has increased the utilization rate of key exam stations from 65% to 91.5%. The system can dynamically adjust the priority of candidates according to real-time situations, optimizing the allocation of exam station resources.
[0024] 4. Save labor costs: The design of the automated status perception, intelligent scheduling, and information display layer reduces the dependence on manual guidance and is expected to save more than 80% of labor costs.
[0025] 5. Enhance the cross-subject sequence control ability: Adopt a double verification mechanism of electronic score and UWB geofencing to construct a forced subject progression relationship logic gate, reducing the incidence rate of illegal subject skipping events from 18% to 0%, ensuring the strictness and orderliness of the exam process.
[0026] 6. Improve the user experience: The information publishing module with multi-screen linkage and the candidate bracelet with a display screen provide clear guidance, reduce the anxiety of candidates caused by not finding the correct path or test station, and improve the test experience. Description of the Drawings
[0027] Figure 1 is the system architecture diagram of the present invention; Figure 2 is the sequential dependency control diagram of the present invention; Figure 3 is the abnormal situation timing diagram of the present invention; Figure 4 is the event-driven mechanism of the present invention; Figure 5 is the test station status change migration diagram of the present invention; Figure 6 is the installation schematic diagram of the information publishing device of the present invention; Figure 7 is the test station layout schematic diagram of the present invention; Figure 8 is the overall flowchart of the present invention. Detailed Embodiment
[0028] The present invention will be further described in detail below with reference to the drawings and embodiments; it can be understood that the specific embodiments described herein are only used to explain the present invention, rather than limiting the present invention; in addition, it should be noted that only parts related to the present invention are shown in the drawings for the convenience of description, rather than all.
[0029] Combined with Figures 1 - 8 As shown, the present invention provides an event-driven dynamic perception multi-subject progressive intelligent assessment scheduling system, which includes: A state perception layer for real-time collecting real-time state data of candidates and test stations, including the location of candidates, test status, and the use status of test stations; An intelligent scheduling layer for making dynamic scheduling decisions based on the collected state data, including a dynamic scheduling engine and an event-driven controller; An information display layer for providing real-time assessment information and guidance to candidates, including an information publishing module, a monitoring and recording module, and a candidate bracelet; Among them, the dynamic scheduling engine includes a priority calculation module, which calculates the candidate priority in real time through a formula. The formula is:
[0030] Among them, P_i is the candidate priority; α is the time urgency coefficient (default 0.6); t_c is the current time; $t_e$ is the time to enter the waiting examination area; $\beta$ is the resource (examination station) pressure coefficient (default 0.4); $w_j$ is the number of candidates waiting at the target examination station, $W_{max}$ is the maximum capacity of the target examination station.
[0031] The state perception layer includes: The UWB positioning module is used to manage the UWB base station and each location management, obtain relevant positioning information, and the positioning accuracy reaches 50 cm; The examination station status sensing module is used to monitor the submission of the examiner's tablet scoring and the information of the candidate leaving the station, and switch the examination station status, including: idle, in use, and faulty.
[0032] The event-driven controller is used to monitor the examination station status and the candidate status, control the examination order of the candidates and the allocation of the examination subjects and stations, and handle abnormal situations, including: When the examination station status becomes idle, trigger the dynamic scheduling engine to generate a scheduling instruction; When it is detected that the candidate does not take the examination in order, immediately send a warning prompt to the candidate's bracelet and the examiner's terminal, and the monitoring and recording module starts the recording function and saves the video evidence.
[0033] The information display layer provides real-time examination information and guidance to the candidates through the information release screen and the candidate bracelet, including call number and path guidance, Among them, the information release screen displays the candidate's call number information, examination subject and examination station location, and the candidate bracelet receives real-time examination, guidance information and warning vibrations.
[0034] The present invention also provides an event-driven dynamic perception multi-subject progressive intelligent examination scheduling method. Based on the above scheduling system, the method includes the following steps: S1, using the state perception layer to collect the real-time state data of the candidates and examination stations in real time, including the location of the candidates, examination status and the use status of the examination stations; S2, based on the collected state data, the intelligent scheduling layer monitors the change of the examination station status through the event-driven controller; S3, when the examination station status becomes idle, the dynamic scheduling engine calculates the priority of the candidates according to the time urgency coefficient $\alpha$ and the resource pressure coefficient $\beta$, and generates a scheduling instruction; S4, the information display layer provides real-time examination information and guidance to the candidates through the information release screen and the candidate bracelet, and the candidates go to the corresponding examination stations for examination according to the guidance; S5, through the dual verification mechanism of electronic scoring submission and UWB geographical fence, ensure that the candidates take the examination in the specified subject order; S6. When an abnormal situation occurs, the event-driven controller invokes the information publishing module and the monitoring and recording module for processing. The examiner can enter the exclusive password of the examiner on the tablet to switch the system to the manual mode to ensure the smooth progress of the exam. When the system returns to normal, it automatically switches back to the automatic mode.
[0035] Step S1. In the step of using the state perception layer to collect the real-time state data of the examinees and the test stations in real time, it includes: Using the UWB positioning module to obtain the location information of the examinees in real time, with the positioning accuracy reaching 50 cm; Using the test station status sensing module to monitor the usage status of the test stations, including idle, in-use, and faulty statuses.
[0036] Step S3. In the step of the dynamic scheduling engine calculating the priority of the examinees according to the time urgency coefficient α and the resource pressure coefficient β, the values of the time urgency coefficient α and the resource pressure coefficient β can be adjusted according to different test types to meet the requirements of different tests.
[0037] Step S4. In the step of the information display layer providing real-time assessment information and guidance to the examinees through the information publishing screen and the examinee bracelet, it includes: The information publishing screen displays the call number information, test subjects, and test station locations of the examinees to ensure that the examinees can obtain accurate test information in a timely manner; The examinee bracelet receives real-time assessment, guidance information, and warning vibrations to guide the examinees to the corresponding test stations, improving the efficiency and order of the exam.
[0038] Step S5. In the step of the dual verification mechanism through electronic score submission and UWB geofencing, it includes: Detect whether the examinee has completed the previous subject exam. The detection methods include the examiner submitting the electronic score sheet and the UWB detecting whether the bracelet has left the test station; Only when the previous subject is completed, the examinee is allowed to enter the waiting area for the next subject to ensure the correctness of the exam order.
[0039] Step S6. In the step of, when an abnormal situation occurs, the event-driven controller invokes the information publishing module and the monitoring and recording module for processing, it includes: When it is detected that the examinee does not take the exam in order, the information publishing module immediately sends a warning prompt to the examinee's bracelet and the examiner's terminal. The monitoring and recording module starts the recording function and saves video evidence for subsequent analysis and processing.
[0040] Embodiment: 2.1 System architecture, as Figure 1 shown: The system architecture includes a state perception layer, an intelligent scheduling layer, and an information display layer.
[0041]
[0042] The status perception layer is responsible for collecting real-time status data of candidates and test stations, such as whether the candidate is taking the test or changing stations, whether the test station is idle, etc. The UWB positioning module is responsible for managing UWB base stations and various locations, and other modules obtain relevant positioning information.
[0043] The examination station status sensor module is responsible for monitoring the examiner's tablet score submission and the examinee's departure information in the station, and switches the corresponding examination station status based on the two to see if it is idle.
[0044] The scoring module is responsible for the examiner's online assessment and scoring, and submitting the scores to the system.
[0045] The intelligent scheduling layer makes dynamic scheduling decisions based on the collected data; The event-driven controller is responsible for monitoring the status of the test station and the status of the examinee. Under normal circumstances, it controls the test sequence of the examinees and the allocation of the test stations for the subjects. Under abnormal circumstances, it calls the information publishing module and the monitoring recording and broadcasting module. The information display layer provides real-time test information to candidates through information release screens and candidate wristbands. It implements the test station allocation strategy and guides and voice reminds candidates to take the test.
[0046] 2.2 System composition and core modules Dynamic scheduling engine (including priority calculation module) Real-time priority calculation is achieved through the formula:
[0047] Where: P_i = candidate priority; α = time urgency coefficient (default 0.6); t_c = current time; t_e = time to enter the waiting area; β = resource (test station) pressure coefficient (default 0.4); w_j = number of people waiting at the target test station, W_max = maximum number of people the target test station can carry (calculated based on the number of test stations).
[0048] (1) Basis for coefficient selection 1. Coefficient calibration based on orthogonal experiment By constructing an L9(3^4) orthogonal experimental table and a simulated medical skills test (OSCE) scenario with 100 people, the impact of α and β on system performance is quantified:
[0049] Note: Comprehensive score = 0.6 × (100-waiting time weight) + 0.4 × resource (test station) utilization rate, weight determined by expert survey Conclusion When α=0.6 and β=0.4, the system achieves the optimal balance between time efficiency and resource (test station) utilization.
[0050] (2)Dynamic adjustment strategy 1. Examination type adaptation rule (default is 0.6)
[0051] S: Time dependence intensity (level 1 - 5, preset by the system) R: Examination station resource tension index = current waiting number / total resource number Examinations of different types have different requirements for time sensitivity and resource sensitivity, so the set values of α and β are different.
[0052] (3)Technical verification data Based on the scenario data of a medical skills examination (OSCE) simulating 100 candidates (α = 0.6, β = 0.4) Average waiting time: 23.7s (17% improvement compared to the default value) Utilization rate of key examination stations: 91.2% (5.4% improvement compared to the default value) Dual-verification sequence control module Compel candidates to take the examinations in the order of subject 1 → 2 → 3. Only when the previous subject is completed are they allowed to enter the waiting area for the next subject. Whether the candidate has completed the previous subject is determined by whether the examiner submits the electronic scoring form and whether the UWB detection bracelet leaves the examination station. As Figure 2 shown, it is the sequence dependence control diagram.
[0053] Warning for out-of-order situation: When it is detected that a candidate takes the examinations out of order, the system immediately sends a warning prompt to the candidate's bracelet and the examiner's terminal, informing the candidate that they need to return to the previous subject to complete the examination, and starts the recording function to save video evidence.
[0054] As Figure 2 shown, it is the timing diagram for abnormal situations.
[0055] Event-driven controller 4.1 Candidates enter the waiting area for the examination and wait for the call number to be reminded to go to the examination station 4.2 The event-driven controller monitors the change of the examination station status 4.3 If the examination station status is idle, the priority scheduling algorithm will be called.
[0056] 4.4 Remind students to enter the examination station for the examination through the information display screen and the candidates' bracelets.
[0057] When the examination station status changes: It proceeds according to the Figure 4 shown event-driven mechanism.
[0058] The examination station status changes and migrates, with three statuses: "idle, in use, and faulty".
[0059] As Figure 5 shown, it is the migration diagram of the examination station status change.
[0060] Information release module Multi-screen linkage, intelligent queuing terminal + information release screen guidance, providing students with real-time assessment and guidance information.
[0061] Examinee bracelet with display screen As Figure 6 shown, it is the installation schematic diagram of the information release device.
[0062] UWB positioning module Adopting Decawave DW1000 chip, with an accuracy of ±10 cm, UWB positioning data verification: Through the UWB positioning system, the location of the examinee can be detected, and base stations are set in each key area, such as the waiting area for the exam, leaving the waiting area for the exam, entering the examination station, leaving the examination station, etc.
[0063] Multi-base station redundant positioning: Redundant base stations are added in key areas (such as the waiting area for the exam, the entrance and exit of the examination station), and the multi-base station positioning algorithm is adopted. Through the fusion of positioning data from multiple base stations, the positioning accuracy is further improved. The number of redundant base stations is not less than 3, and the distance between base stations does not exceed 10 meters to ensure the coverage and accuracy of the positioning signal.
[0064] Positioning calibration mechanism: Regularly calibrate the UWB positioning system, and the calibration period does not exceed 24 hours. The calibration process includes synchronous calibration of the base station and accuracy test of the positioning tag to ensure the long-term stability and accuracy of the positioning system.
[0065] 2.3 Examinee flow path and examination station layout Examination station layout: Each subject has its own waiting area for the exam and examination station, and the waiting area for the exam and the examination station are concentrated together. For example: Subject 1: The examinee first enters the waiting area for Subject 1, waits for the queuing number, and then enters the examination station of Subject 1 for assessment.
[0066] Subject 2: After completing Subject 1, the examinee enters the waiting area for Subject 2, waits for the queuing number, and then enters the examination station of Subject 2 for assessment.
[0067] Subject 3: And so on, the examinee keeps moving forward to complete the assessment of all subjects.
[0068] Examinee flow path: After the examinee completes the assessment of one subject, the examiner submits the electronic scoring form, and the system automatically moves the examinee information from the current subject queue to the next subject waiting area queue.
[0069] Under the guidance of the bracelet and the information display screen, the examinees go to the waiting area for the next subject.
[0070] After waiting for the call number in the waiting area, the examinees enter the examination station for the next subject to take the assessment.
[0071] As Figure 7 shown is the schematic diagram of the examination station layout.
[0072] 2.4 Medical OSCE Examination Data of Hainan Medical University: Scale of examinees: 120 people Examination station configuration: 6 subjects × 8 parallel examination stations; Operation data: average waiting time 28.3 seconds, utilization rate of key examination stations 91.5%, 0 cases of illegal skipping of subjects".
[0073] The above are only the preferred embodiments of the present invention, and do not limit the patent scope of the present invention accordingly. Any equivalent structural transformation made under the inventive concept of the present invention by using the content of the specification and drawings of the present invention, or any direct / indirect application in other related technical fields is included in the protection scope of the present invention.
Claims
1. An event-driven dynamic perception multi-subject progressive intelligent assessment scheduling system, characterized in that: The system includes: The status perception layer is used to collect real-time status data of candidates and test centers, including the location of candidates, test status, and the use status of test centers; The intelligent scheduling layer makes dynamic scheduling decisions based on the collected status data, including a dynamic scheduling engine and an event-driven controller; The information display layer is used to provide real-time assessment information and guidance to candidates, including information release module, monitoring recording module and candidate wristband; The dynamic scheduling engine includes a priority calculation module, which calculates the candidate priority in real time through the formula: in, P_i is the candidate priority; α is the time urgency coefficient; t_c is the current time; t_e is the time to enter the waiting area; β is the resource pressure coefficient; w_j is the number of people waiting at the target test station, W_max is the maximum number of people that the target test station can carry.
2. The system according to claim 1, characterized in that The state perception layer includes: UWB positioning module, used to manage UWB base stations and various locations, obtain relevant positioning information, and achieve a positioning accuracy of 50cm; The test station status sensor module is used to monitor the examiner's tablet score submission and the examinee's departure information in the station, and switch the test station status, including: idle, in use, and faulty.
3. The system according to claim 1, characterized in that The event-driven controller is used to monitor the status of the test station and the examinee, control the test sequence of the examinees and the allocation of the test stations for the subjects, and handle abnormal situations, including: When the test station status becomes idle, the dynamic scheduling engine is triggered to generate scheduling instructions; When it is detected that a candidate has not taken the test in order, a warning will be immediately sent to the candidate's wristband and the examiner's terminal, the monitoring recording module will start the recording function, and the video evidence will be saved.
4. The system according to claim 1, characterized in that The information display layer provides real-time examination information and guidance to candidates through information release screens and candidate wristbands, including calling numbers and route guidance. The information display screen shows the candidate's call number, test subject and test station location, and the candidate's wristband receives real-time assessment, guidance information and warning vibrations.
5. An event-driven dynamic perception multi-subject progressive intelligent assessment scheduling method, based on the scheduling system according to any one of claims 1 to 4, characterized in that: The method comprises the following steps: S1, using the state perception layer to collect real-time status data of candidates and test stations, including the location of candidates, test status, and the use status of the test station; S2, based on the collected status data, the intelligent scheduling layer monitors the status changes of the test stations through event-driven controllers; S3, when the test station status becomes idle, the dynamic scheduling engine calculates the priority of the examinee according to the time urgency coefficient α and the resource pressure coefficient β, and generates a scheduling instruction; S4, the information display layer provides real-time test information and guidance to candidates through the information release screen and candidate wristbands. Candidates go to the corresponding test station for the test according to the guidance; S5, through the dual verification mechanism of electronic score submission and UWB geo-fencing, ensures that candidates take the examination in the prescribed subject sequence; S6, when an abnormal situation occurs, the event-driven controller calls the information release module and the monitoring recording module for processing. The examiner can enter the examiner's exclusive password on the tablet to switch the system to manual mode to ensure the smooth progress of the examination. When the system returns to normal, it automatically switches back to automatic mode.
6. The method according to claim 5, characterized in that Step S1, using the state perception layer to collect real-time state data of examinees and test stations in real time, includes: The UWB positioning module is used to obtain the candidate's location information in real time, with a positioning accuracy of 50 cm; The test station status sensor module is used to monitor the usage status of the test station, including idle, in-use and fault status.
7. The method according to claim 5, characterized in that In step S3, the dynamic scheduling engine calculates the priority of candidates according to the time urgency coefficient α and the resource pressure coefficient β. The values of the time urgency coefficient α and the resource pressure coefficient β can be adjusted according to different examination types to meet the needs of different examinations.
8. The method according to claim 5, characterized in that Step S4, the information display layer provides real-time examination information and guidance to the examinee through the information release screen and the examinee's wristband, including: The information release screen displays the candidate's call number information, test subject and test station location, ensuring that candidates can obtain accurate test information in a timely manner; The examinee's wristband receives real-time assessment, guidance information and warning vibrations, guiding the examinee to the corresponding examination station, thus improving the efficiency and order of the examination.
9. The method according to claim 5, characterized in that Step S5, the step of the dual verification mechanism of electronic score submission and UWB geo-fencing, includes: Check whether the candidate has completed the previous subject test. The detection methods include the examiner submitting the electronic score sheet and the UWB detection wristband leaving the test station; Candidates are allowed to enter the waiting area for the next subject only when the previous subject is completed, ensuring the correctness of the examination order.
10. The method according to claim 5, characterized in that Step S6, when an abnormal situation occurs, the event-driven controller calls the information publishing module and the monitoring recording and broadcasting module for processing, including: When it is detected that a candidate has not taken the test in order, the information release module immediately sends a warning to the candidate's wristband and the examiner's terminal, the monitoring and recording module starts the recording function, and saves the video evidence for subsequent analysis and processing.
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