CN-122022364-A - Willingness point resource scheduling management method and system supporting dynamic credit adaptation

CN122022364ACN 122022364 ACN122022364 ACN 122022364ACN-122022364-A

Abstract

The invention discloses a willingness point resource scheduling management method and system supporting dynamic adaptation of a credit, wherein the method comprises the steps of obtaining academic data of students, dynamically calculating rigid demand urgency indexes of the students, distributing first-class virtual resources for necessary course maintenance auction for the students based on the rigid demand urgency indexes, dynamically determining second-class virtual resource upper limits for the necessary course maintenance auction, wherein the rigid demand urgency indexes and the second-class resource upper limits are inversely related to form asymmetric resource constraint, executing course seat scheduling according to the distributed resources, preferentially guaranteeing the necessary course maintenance allocation, and completing course maintenance selection allocation. The corresponding system comprises a demand analysis module, an asymmetric resource management module, a phased scheduling engine and a monitoring feedback module. According to the invention, through the urgency of the chemical industry and the establishment of an asymmetric resource constraint and scheduling mechanism, the accurate guarantee of the rigid chemical industry requirement and the reasonable guidance of the flexible requirement are realized.

Inventors

JIANG YU
HU JIN

Assignees

北京悦活教育科技有限责任公司

Dates

Publication Date: 20260512
Application Date: 20260211
Priority Date: 20251210

Claims (10)

1. The willingness point resource scheduling management method supporting the dynamic adaptation of the credit is characterized by comprising the following steps: Step one, acquiring school data of students, wherein the school data at least comprises acquired school points, to-be-repaired school points and course structure information in a culture scheme; Based on the academic data, dynamically calculating a rigid demand urgency index RDU of the student, wherein the rigid demand urgency index RDU is used for quantifying the urgency degree of the student to complete the academic; Step three, according to the rigidity demand urgency index RDU, distributing first-class virtual resources for the necessary course for the auction for each student; Dynamically determining the upper limit of a second-class virtual resource available to each student for auction and repair courses based on the rigid demand urgency index RDU, wherein the rigid demand urgency index RDU is inversely related to the upper limit of the second-class virtual resource, so that the higher the rigid demand urgency is, the stronger the constraint is on the resources currently available to students with flexible demands; And fifthly, performing course seat scheduling according to the first-class virtual resources and the constrained second-class virtual resources, wherein the first-class virtual resources are preferentially used for guaranteeing the allocation of the necessary maintenance courses, and the remaining second-class virtual resources are used for carrying out the allocation of the selected maintenance courses on the basis of guaranteeing the allocation result of the necessary maintenance courses.
2. The method for managing the resource scheduling of willingness points to support dynamic credit adaptation according to claim 1, wherein the performing course seat scheduling in the fifth step specifically comprises: A. in the first scheduling stage, students use the first-class virtual resources and the second-class virtual resources which do not exceed a preset borrowing amount to bid on a requisite maintenance course, and after the weighted calculation is carried out by the system according to the bid and the rigidity demand urgency index RDU, the requisite maintenance course seat is allocated; B. After the first scheduling stage is completed, a second scheduling stage is carried out, students use the remaining second-class virtual resources to bid on the selected courses, and the system distributes the selected course seats according to the bids.
3. The method for scheduling and managing willingness point resources to support dynamic adaptation of credit according to claim 2, wherein the weighted calculation means to multiply the actual bid of a student for a certain course to be paid by an adjustment coefficient based on the student rigidity demand urgency index RDU, and rank ordering and allocation are performed by taking the product as the effective bid.
4. The method for managing the resource scheduling of the willingness points to support dynamic adaptation of credit according to claim 1, wherein the second step further comprises: Calculating the flexible demand structure health degree FSH of the student based on the academic data, wherein the flexible demand structure health degree FSH is used for quantifying the rationality of the student in selecting and repairing the academic score structure; In the fifth step, when the selected course is distributed, the bid of the student is guided slightly by combining the flexible demand structure health degree FSH, and the guiding does not change the distribution result of the necessary course in the first scheduling stage.
5. The method for managing the scheduling of willingness point resources to support dynamic credit adaptation according to any one of claims 1 to 4, further comprising, during the execution of the fifth step: step six, monitoring the bid-winning conditions of the requisite courses of students with high rigidity requirement urgency index RDU in real time; and step seven, if the success rate of the students with the high rigidity requirement urgency index RDU is monitored to be lower than a preset threshold value, dynamically increasing the weight of the students with the rigidity requirement urgency index RDU in the weighted calculation or temporarily adding and allocating first-class virtual resources for the students in the follow-up dispatching rounds.
6. The method for managing the resource scheduling of willingness points to support dynamic credit adaptation according to claim 1, wherein the dynamic calculation rigidity demand urgency index RDU in the second step is specifically calculated by the following formula or a variant thereof: Rigid demand urgency index rdu=f (remaining necessary maintenance score, remaining optional maintenance period number, necessary maintenance course setup frequency, course first maintenance dependency); The more the remaining necessary repair scores, the fewer the remaining optional repair scores, the lower the course setting frequency, the more critical the first repair dependency relationship, and the higher the calculated RDU value.
7. A willingness point resource scheduling management system supporting dynamic adaptation of credit to implement the method of any one of claims 1-6, comprising: The demand analysis module is used for acquiring student's academic data and calculating a rigid demand urgency index RDU of the student; The asymmetric resource management module is connected with the demand analysis module and is used for distributing first-class virtual resources for students according to the rigid demand urgency index RDU and dynamically setting the upper limit of second-class virtual resources; the phasing scheduling engine is connected with the asymmetric resource management module and used for executing phasing course seat scheduling of first requisite repair and then selective repair according to a resource allocation result; and the monitoring feedback module is connected with the demand analysis module and the staged scheduling engine and is used for monitoring scheduling results and triggering dynamic resource or weight adjustment of the high-rigidity demand urgency index RDU students.
8. The system for managing the scheduling of willingness point resources to support dynamic adaptation of credit according to claim 7, wherein the asymmetric resource management module comprises: The rigid resource pool management sub-module is used for generating, distributing and managing first-class virtual resources specially used for bidding of a requisite course; the flexible resource pool management sub-module is used for managing second-class virtual resources which can be used for bidding of all courses; And the resource constraint engine is connected with the demand analysis module and the flexible resource pool management submodule and is used for calculating and sending an available upper limit instruction of the second-class virtual resource of the student to the flexible resource pool management submodule in real time according to the rigid demand urgency index RDU of the student.
9. The willingness point resource scheduling management system supporting dynamic credit adaptation according to any one of claims 7 or 8, wherein the staged scheduling engine comprises: the first scheduling unit is used for processing the bid of the requisite course, calling logic of the first scheduling unit ensures that students use first-class virtual resources preferentially, and introducing a rigid demand urgency index RDU as a gain factor when calculating effective bid; And the second scheduling unit is used for processing the bid of the maintenance course after the first scheduling unit finishes, calling logic to limit students to only use the second-class virtual resources, and introducing the flexible demand structure health degree FSH calculated by the demand analysis module as a fine tuning factor when calculating the effective bid.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the steps of the method according to any one of claims 1 to 6.

Description

Willingness point resource scheduling management method and system supporting dynamic credit adaptation Technical Field The invention relates to the technical field of education resource management, in particular to a willingness point resource scheduling management method and system supporting dynamic adaptation of credit. Background With the advanced informatization of higher education, online scheduling and allocation of course resources have become a core link of educational administration. How to realize fair and efficient matching between massive student demands and limited course seats is a long-standing technical problem, at present, the mainstream course selection resource scheduling method is mainly divided into two types, namely a queuing mode based on static priority and a free bidding mode based on willingness points, wherein the queuing mode is stiff in rules, cannot sense the emergency state of students in the academic, can only realize coarse-grained fairness and cannot respond to individualized preference intensity of the students, and the free bidding mode cannot acquire necessary course seats required by graduations due to insufficient bidding competitiveness or invests a large number of points into hot courses for selecting courses for interest, so that resources of competing subsequent necessary courses are consumed, and the systematic risk of personal academic planning is caused. Furthermore, there have been attempts to simply combine the two modes, for example, by multiplying a static priority coefficient on a bid basis. Such a hybrid model has not fundamentally distinguished the essential differences in student demand-namely the rigid demand (essential score) for graduation or not and the flexible demand (score for selection) for personal development. They still operate under a single, homogenous resource pool and scheduling framework, and the allocation of flexible demands is optimized again on the premise that the absolute priority of rigid demands cannot be guaranteed. Because accurate, dynamic and educational resource adaptation is difficult to achieve, the method and the system for managing the resource scheduling of the willingness points for supporting the dynamic adaptation of the credit are provided for solving the problems. Disclosure of Invention The invention aims to provide a willingness point resource scheduling management method and system supporting dynamic adaptation of credit, so as to solve the problems in the background technology. In order to achieve the above purpose, the present invention provides the following technical solutions: A willingness point resource scheduling management method supporting dynamic adaptation of credit includes the following steps: Step one, acquiring school data of students, wherein the school data at least comprises acquired school points, to-be-repaired school points and course structure information in a culture scheme; Based on the academic data, dynamically calculating a rigid demand urgency index RDU of the student, wherein the rigid demand urgency index RDU is used for quantifying the urgency degree of the student to complete the academic; Step three, according to the rigidity demand urgency index RDU, distributing first-class virtual resources for the necessary course for the auction for each student; Dynamically determining the upper limit of a second-class virtual resource available to each student for auction and repair courses based on the rigid demand urgency index RDU, wherein the rigid demand urgency index RDU is inversely related to the upper limit of the second-class virtual resource, so that the higher the rigid demand urgency is, the stronger the constraint is on the resources currently available to students with flexible demands; And fifthly, performing course seat scheduling according to the first-class virtual resources and the constrained second-class virtual resources, wherein the first-class virtual resources are preferentially used for guaranteeing the allocation of the necessary maintenance courses, and the remaining second-class virtual resources are used for carrying out the allocation of the selected maintenance courses on the basis of guaranteeing the allocation result of the necessary maintenance courses. Preferably, the fifth step specifically includes performing a first scheduling stage, wherein students bid for necessary lessons by using first-class virtual resources and part of second-class virtual resources, and the system performs weighted calculation according to the bid and rigidity demand urgency index RDU and then distributes seats specifically as follows: Determining actual bids for students on target requisite courses The actual bidCalculating the effective bid of the student on the target requisite course for the sum of the first-class virtual resources which the student is willing to pay for the course and the second-class virtual resources which do not exceed the preset borrowing amountAnd