Smart campus data management method and system based on data synchronization

Abstract

The invention relates to the technical field of data management, and discloses a smart campus data management method and system based on data synchronization. The method comprises the steps of constructing a campus data management model, obtaining a real-time distribution condition of enrollment resources and a real-time academic supervision prompt condition, operating the campus data management model, and generating a real-time enrollment resource distribution strategy and a real-time academic supervision prompt strategy. The system corresponds to the method. According to the invention, based on the constructed campus data management model, scattered and isolated enrollment and academic data are converted into systematic data resources which can be deeply analyzed, so that a scientific basis is provided for accurate enrollment resource allocation and effective academic supervision prompt; resource mismatching and academic problem processing lag caused by data one-sidedness in a traditional mode are avoided, scientificity, rationality and foresight of intelligent campus data management in the aspects of enrollment and academic management are greatly improved, and efficient development of school enrollment work and healthy development of the academic industry of students are guaranteed.

Description

Technical Field

[0001] The present application relates to the field of data management technology, and specifically to a smart campus data management method and system based on data synchronization. Background Art

[0002] In the process of the continuous advancement of smart campus construction, enrollment and academic management are extremely important links. In the research on the construction of smart campus, the inventor found that: Traditional enrollment resource allocation often relies on relatively single indicators or empirical judgments, lacking comprehensive and in-depth mining and analysis of historical data. For example, resources are allocated only based on the number of students in the current year or a simple enrollment plan completion rate, without taking into account time series data of multiple factors such as the quality changes of students in different regions over a long period of time and the dynamic evolution of enrollment competition pressure. This may lead to unreasonable resource allocation. Some regions with potential high-quality students or development potential will not receive enough resources, while some regions may have excess or waste resources, affecting the overall enrollment effect and the strategic layout of school development.

[0003] Traditional academic supervision reminders were mostly based on scattered academic performance or periodic learning progress checks, without systematically integrating academic information of students from different years. It is impossible to accurately grasp the laws and trends of student academic fluctuations, and it is difficult to timely discover potential problems in students in the long-term learning process. For example, when students' grades fluctuate abnormally or their academic progress deviates, due to the lack of historical data comparison and comprehensive analysis models, it is impossible to accurately judge the severity and whether timely intervention is needed, which may delay the timing of dealing with students' academic problems, reduce students' learning quality and graduation rate, and is not conducive to improving the overall teaching quality of the school and achieving talent training goals.

[0004] In summary, a new technical solution for smart campus data management based on data synchronization is urgently needed to solve the above problems. Summary of the invention

[0005] The purpose of this application is to provide a smart campus data management method and system based on data synchronization to solve the technical problems raised in the above background technology.

[0006] To achieve the above objectives, this application discloses the following technical solutions: In a first aspect, the present application discloses a smart campus data management method based on data synchronization, the method comprising: S1: Building a campus data management model based on the historical allocation of enrollment resources and the historical academic supervision prompts; wherein the campus data management model is used to generate corresponding enrollment resource allocation strategies and academic supervision prompt strategies based on enrollment information synchronization data and academic information synchronization data, the enrollment information synchronization data is used to characterize the student source information of each region and the corresponding enrollment situation, and the academic information synchronization data is used to characterize the academic fluctuations of each student; S2: Obtain real-time allocation of enrollment resources and real-time academic supervision reminders; S3: Run the campus data management model, combine the real-time allocation of enrollment resources and the real-time academic supervision prompts, and generate a real-time enrollment resource allocation strategy and a real-time academic supervision prompt strategy.

[0007] As a preferred embodiment, the allocation of enrollment resources is specifically as follows: Use big data technology to obtain student source information in different years and regions and the corresponding enrollment resource allocation plan; Using data synchronization technology, the student source information of different years and different regions and the corresponding enrollment resource allocation plan are synchronized and integrated based on time series, so as to obtain the student source information and the corresponding enrollment situation; wherein, the enrollment step-by-step synchronization is synchronized year by year based on the enrollment year; The student source information and the corresponding enrollment situation and enrollment resource allocation plan are integrated based on the time series to obtain the allocation situation of enrollment resources.

[0008] As a preferred embodiment, the prompts of the academic supervision are specifically as follows: Use big data technology to obtain academic information of different students in different years and corresponding academic supervision and reminder plans; Data synchronization technology is used to synchronize and integrate the academic information of different students in different years and the corresponding academic supervision reminder plans based on time series, so as to obtain the academic supervision reminder situation; wherein, the academic step-by-step synchronization is synchronized year by year based on the academic year.

[0009] Preferably, the construction process of the campus data management model includes: Obtain information on the allocation of enrollment resources and academic supervision reminders; Generate corresponding enrollment information synchronization data and academic information synchronization data based on the allocation of enrollment resources and the prompts of academic supervision; Based on the enrollment information synchronization data and the academic information synchronization data, the historical enrollment resource allocation and the historical academic supervision prompts are adjusted to generate corresponding enrollment resource allocation strategies and academic supervision prompt strategies.

[0010] Preferably, the process of obtaining the real-time allocation of enrollment resources and the real-time prompt of academic supervision includes: Using a preset enrollment management platform and a preset student management platform to collect corresponding enrollment resource data and academic supervision data in real time; wherein the enrollment management platform receives internal enrollment data and external enrollment data, and the student management platform receives internal academic data; The enrollment resource data and the academic supervision data are processed using data preprocessing technology to obtain corresponding real-time enrollment resource allocation and real-time academic supervision prompts.

[0011] Preferably, the process of generating the real-time enrollment resource allocation strategy includes: Based on the real-time allocation of enrollment resources, the corresponding student source information synchronization and enrollment situation synchronization are performed to generate corresponding student source information indicators and enrollment situation indicators. Based on the student source information indicators and the enrollment situation indicators, the resource allocation of the corresponding time series of each region is calculated using a preset resource allocation formula; wherein the resource allocation formula is specifically: in, For the number Regions in the time series The following student information indicators, For the number Regions in the time series The following enrollment situation indicators, Indicates each region The whole In time series The sum of the product of the source information index and the enrollment situation index under For all enrollment resources, Indicates each region Belong to the whole , The calculated number is Regions in the time series resource allocation under .

[0012] Preferably, the process of generating the student source information indicator includes: Acquire real-time data on the number of students and the quality of students and perform corresponding data standardization to obtain standard data on the number of students and the quality of students, assign weights to the corresponding standard data on the number of students and the quality of students, and calculate corresponding student information indicators; wherein the data on the number of students and the quality of students are the sum of data based on each time series and the corresponding data after weight assignment based on the time series.

[0013] Preferably, the process of generating the enrollment situation indicator includes: Acquire the real-time enrollment plan completion rate and the real-time enrollment competition pressure and perform corresponding data standardization to obtain the standard enrollment plan completion rate and the standard enrollment competition pressure, assign weights to the corresponding standard enrollment plan completion rate and the standard enrollment competition pressure, and calculate the corresponding enrollment situation indicator.

[0014] Preferably, the process of generating the real-time academic supervision prompt strategy includes: Based on the real-time academic supervision prompts, corresponding academic synchronization is performed to generate corresponding academic performance indicators and academic progress indicators, corresponding academic fluctuation data is obtained based on the academic performance indicators and the academic progress indicators, and corresponding supervision prompts for each student are obtained based on the academic fluctuation data.

[0015] In a second aspect, the present application discloses a smart campus data management system based on data synchronization, the system is applicable to the smart campus data management method based on data synchronization as described above, and the system includes: Model building module: building a campus data management model based on the historical allocation of enrollment resources and the historical academic supervision prompts; wherein the campus data management model is used to generate corresponding enrollment resource allocation strategies and academic supervision prompt strategies based on enrollment information synchronization data and academic information synchronization data, the enrollment information synchronization data is used to characterize the student source information of each region and the corresponding enrollment situation, and the academic information synchronization data is used to characterize the academic fluctuations of each student; Data acquisition module: obtain real-time allocation of enrollment resources and real-time academic supervision reminders; Model operation module: runs the campus data management model, combines the real-time allocation of enrollment resources and the real-time academic supervision prompts, and generates real-time enrollment resource allocation strategies and real-time academic supervision prompt strategies.

[0016] Beneficial effects: The data synchronization-based smart campus data management method and system of this application builds a campus data management model based on historical enrollment resource allocation and academic supervision reminders, and uses existing big data and data synchronization technology to comprehensively integrate student source information, enrollment resource allocation plans, and academic information and supervision reminder plans for multiple years and regions. In this way, it is possible to transform scattered and isolated enrollment and academic data into systematic and deeply analyzable data resources, thereby providing a scientific basis for accurate enrollment resource allocation and effective academic supervision reminders, avoiding resource mismatches and delayed academic problem handling caused by the one-sidedness of data in traditional methods, and greatly improving the scientificity, rationality and foresight of smart campus data management in enrollment and academic management, ensuring the efficient implementation of school enrollment and the healthy academic development of students. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without paying any creative work.

[0018] Figure 1 A flowchart of a smart campus data management method based on data synchronization provided in an embodiment of the present application; Figure 2 This is a structural block diagram of the smart campus data management system based on data synchronization provided in an embodiment of the present application. DETAILED DESCRIPTION

[0019] The technical solutions in the embodiments of the present application are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application.

[0020] In this article, the term "comprising" is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of more restrictions, the elements defined by the sentence "comprising..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0021] The first aspect of this embodiment discloses Figure 1A smart campus data management method based on data synchronization is shown, the method comprising: S1: Construct a campus data management model based on the historical allocation of enrollment resources and the historical academic supervision prompts; the campus data management model is used to generate corresponding enrollment resource allocation strategies and academic supervision prompt strategies based on the enrollment information synchronization data and academic information synchronization data. The enrollment information synchronization data is used to characterize the source information of each region and the corresponding enrollment situation, and the academic information synchronization data is used to characterize the academic fluctuations of each student; S2: Obtain real-time allocation of enrollment resources and real-time academic supervision reminders; S3: Run the campus data management model, combine the real-time allocation of enrollment resources and the real-time academic supervision prompts, and generate real-time enrollment resource allocation strategies and real-time academic supervision prompt strategies.

[0022] Based on the above, this embodiment builds a campus data management model based on the historical enrollment resource allocation and academic supervision reminders, and uses existing big data and data synchronization technology to comprehensively integrate the source information of students in multiple years and regions, enrollment resource allocation plans, and academic information and supervision reminder plans of multiple students. In this way, it is possible to transform scattered and isolated enrollment and academic data into systematic and deeply analyzable data resources, thereby providing a scientific basis for accurate enrollment resource allocation and effective academic supervision reminders, avoiding resource mismatch and academic problem handling delays caused by the one-sidedness of data in traditional methods, greatly improving the scientificity, rationality and foresight of smart campus data management in enrollment and academic management, and ensuring the efficient implementation of school enrollment and the healthy development of students' academics.

[0023] Specifically, the allocation of enrollment resources is as follows: Use big data technology to obtain student source information in different years and regions and the corresponding enrollment resource allocation plan; Data synchronization technology is used to synchronize and integrate the student source information and corresponding enrollment resource allocation plans of different years and regions based on time series, so as to obtain the student source information and the corresponding enrollment situation; among which, the step-by-step synchronization of enrollment is synchronized year by year based on the enrollment year; Based on the time series, the student source information and the corresponding enrollment situation and enrollment resource allocation plan are integrated to obtain the allocation of enrollment resources.

[0024] Based on the above, this embodiment uses existing big data technology to widely collect student source information and allocation plans in different years and regions, and then uses existing data synchronization technology to synchronize and integrate step by step according to the enrollment year to obtain comprehensive and detailed student source information and enrollment situation. It realizes the in-depth sorting of enrollment resource allocation related data from macro to micro, so that enrollment resource allocation is no longer limited to current data, but integrates historical trends and regional differences, so that resource allocation is more in line with the actual needs and development potential of each region, improves the utilization rate of enrollment resources, and promotes the balanced and efficient advancement of school enrollment work in various regions.

[0025] Specifically, the academic supervision tips are as follows: Use big data technology to obtain academic information of different students in different years and corresponding academic supervision and reminder plans; Data synchronization technology is used to synchronize and integrate the academic information of different students in different years and the corresponding academic supervision reminder plans based on time series, so as to obtain the academic supervision reminder situation; among which, the academic step-by-step synchronization is synchronized year by year based on the academic year.

[0026] Based on the above, this embodiment uses existing big data technology to obtain academic information and supervision reminder solutions for students of different years, and integrates them synchronously year by year based on academic years through data synchronization technology. It realizes the full tracking and data integration of students' academic process, changes the limitations of fragmentation and short-term academic supervision in the past, can accurately grasp the long-term laws of students' academic fluctuations, and provide a more in-depth and accurate basis for academic supervision reminders, which helps to timely discover and solve students' academic problems and improve the overall teaching quality and talent training results of the school.

[0027] Specifically, the construction process of the campus data management model includes: Obtain information on the allocation of enrollment resources and academic supervision reminders; Generate corresponding enrollment information synchronization data and academic information synchronization data based on the allocation of enrollment resources and the prompts of academic supervision; Based on the enrollment information synchronization data and the academic information synchronization data, the historical enrollment resource allocation and the historical academic supervision prompts are adjusted to generate corresponding enrollment resource allocation strategies and academic supervision prompt strategies.

[0028] Based on the above, this embodiment uses the preset existing technology platform (such as the data of the education trend research and analysis platform and the data of the campus internal academic affairs network) to collect enrollment and academic data and uses the existing data preprocessing technology for preprocessing. It realizes the efficient integration of internal and external enrollment data and internal academic data, ensures the accuracy and availability of data, provides a reliable data foundation for subsequent enrollment resource allocation and academic supervision prompts, avoids decision-making errors caused by data quality problems, and improves the stability of the smart campus data management process and data quality assurance capabilities.

[0029] Specifically, the process of obtaining real-time allocation of enrollment resources and real-time academic supervision prompts includes: Utilize the preset enrollment management platform and the preset student management platform to collect corresponding enrollment resource data and academic supervision data in real time; wherein, the enrollment management platform receives internal enrollment data and external enrollment data, and the student management platform receives internal academic data; Data preprocessing technology is used to process enrollment resource data and academic supervision data to obtain corresponding real-time enrollment resource allocation and real-time academic supervision prompts.

[0030] Based on the above, this embodiment synchronizes the source of students and the enrollment situation based on the real-time enrollment resource situation and uses a formula to calculate resource allocation. It realizes the quantification of the complex enrollment resource allocation basis into specific indicators and formula calculations, making the allocation process more transparent and scientific, and can reasonably allocate resources based on the real-time source of students and enrollment situation in each region, avoiding interference from human subjective factors, improving the fairness and rationality of enrollment resource allocation, and promoting the orderly development of school enrollment work in different regions.

[0031] Specifically, the process of generating a real-time enrollment resource allocation strategy includes: Based on the real-time allocation of enrollment resources, the corresponding student source information and enrollment situation synchronization are performed to generate corresponding student source information indicators and enrollment situation indicators. Based on the student source information indicators and enrollment situation indicators, the resource allocation of the corresponding time series of each region is calculated using the preset resource allocation formula; wherein the resource allocation formula is specifically: in, For the number Regions in the time series The following student information indicators, For the number Regions in the time series The following enrollment situation indicators, Indicates each region The whole In time series The sum of the product of the source information index and the enrollment situation index under For all enrollment resources, Indicates each region Belong to the whole , The calculated number is Regions in the time series resource allocation under .

[0032] Based on the above, this embodiment synchronizes the source of students and the enrollment situation based on the real-time enrollment resource situation and uses a formula to calculate resource allocation. It realizes the quantification of the complex enrollment resource allocation basis into specific indicators and formula calculations, making the allocation process more transparent and scientific, and can reasonably allocate resources based on the real-time source of students and enrollment situation in each region, avoiding interference from human subjective factors, improving the fairness and rationality of enrollment resource allocation, and promoting the orderly development of school enrollment work in different regions.

[0033] Specifically, the process of generating student source information indicators includes: Acquire real-time data on the number of students and the quality of students and perform corresponding data standardization to obtain standard data on the number of students and the quality of students, assign weights to the corresponding standard data on the number of students and the quality of students, and calculate the corresponding student information indicators; wherein the data on the number of students and the quality of students are the sum of the data based on each time series and the corresponding data after weight assignment based on the time series.

[0034] As a preferred implementation of this embodiment, this embodiment uses a preset student source information indicator formula to calculate the student source information indicator, wherein the student source information indicator formula is specifically: in, is the standard number of students, For standard student quality data, is the weight of the number of students, is the weight of the student quality data, and .

[0035] Furthermore, this embodiment uses the student source number formula to calculate the student source number, wherein the student source number formula is specifically: in, for The corresponding time series coefficients satisfy The closer to the current time, the greater the weight. This is the number of students that have not been standardized.

[0036] Furthermore, this embodiment uses the student quality data formula to calculate the student quality data, wherein the student quality data formula is specifically: in, For the number Regions in the time series The true value of the quality data of the students under For the number Regions in the time series The historical value of the quality data of students under For the number Regions in the time series The corrected value of the student quality data under the standardization is the formula for the student quality data without standardization. It is understandable that the assessment of student quality is not limited to the pre-enrollment (i.e. ), in the post-school inspection (i.e. ) can correct the quality of students before entering the school, so as to obtain a more accurate quality of students (i.e. ).

[0037] Based on the above, this embodiment obtains and processes the data on the quantity and quality of students to generate student information indicators. It realizes the standardization of student data and assigns reasonable weights, so as to accurately quantify the comprehensive situation of student sources in various regions, provide key decision-making references for the allocation of enrollment resources, make resource allocation more inclined to regions with high quality of students and great potential, optimize the layout of school enrollment resources, and improve the input-output ratio of enrollment resources.

[0038] Specifically, the process of generating the enrollment situation indicator includes: Obtain the real-time enrollment plan completion rate and the real-time enrollment competition pressure and perform corresponding data standardization to obtain the standard enrollment plan completion rate and the standard enrollment competition pressure, assign weights to the corresponding standard enrollment plan completion rate and the standard enrollment competition pressure, and calculate the corresponding enrollment situation indicators.

[0039] It should be noted that the generation of the enrollment situation index in this embodiment corresponds to the generation of the aforementioned student source information index, and the corresponding enrollment situation index is achieved by updating the corresponding variables to the enrollment plan completion rate and enrollment competition pressure.

[0040] Based on the above, this embodiment obtains and processes the enrollment plan completion rate and competitive pressure to generate enrollment situation indicators. It realizes a comprehensive assessment of the regional enrollment situation from two dimensions: enrollment work effectiveness and external competitive environment, and provides a comprehensive perspective for the enrollment resource allocation strategy, so that the school can take into account both internal plan achievement and external competitive challenges when allocating resources, ensuring that resource allocation can effectively respond to the enrollment competition pattern in different regions and enhance the overall enrollment competitiveness of the school.

[0041] Specifically, the process of generating real-time academic supervision prompt strategies includes: Based on the real-time academic supervision prompts, corresponding academic synchronization is performed to generate corresponding academic performance indicators and academic progress indicators, and corresponding academic fluctuation data is obtained based on the academic performance indicators and academic progress indicators. Based on the academic fluctuation data, corresponding supervision prompts for each student are obtained.

[0042] It should be noted that the calculation method of the academic performance index and academic progress index of this embodiment, that is, the corresponding academic fluctuation data, can be but is not limited to the calculation of the existing standard deviation, which aims to obtain the deviation of the personalized student's academic performance and academic progress from the mean. This embodiment does not make any restrictions here.

[0043] Based on the above, this embodiment generates indicators and fluctuation data based on academic supervision to derive supervision tips. It realizes the digitization of students' academic performance and accurate analysis of academic fluctuations, provides clear warning signals for academic supervision, enables teachers to conduct personalized interventions on students' academic problems in a timely manner, improves the pertinence and timeliness of academic supervision, and ensures the smooth progress of students' studies and the improvement of learning quality.

[0044] The second aspect of this embodiment discloses Figure 2 A smart campus data management system based on data synchronization is shown, and the system is applicable to the smart campus data management method based on data synchronization as described above, and the system includes: Model building module: Building a campus data management model based on the historical allocation of enrollment resources and the historical academic supervision prompts; the campus data management model is used to generate corresponding enrollment resource allocation strategies and academic supervision prompt strategies based on the enrollment information synchronization data and academic information synchronization data. The enrollment information synchronization data is used to characterize the source information of each region and the corresponding enrollment situation, and the academic information synchronization data is used to characterize the academic fluctuations of each student; Data acquisition module: obtain real-time allocation of enrollment resources and real-time academic supervision reminders; Model operation module: Run the campus data management model, combine the real-time allocation of enrollment resources and the real-time academic supervision prompts, and generate real-time enrollment resource allocation strategies and real-time academic supervision prompt strategies.

[0045] It should be noted that the smart campus data management system based on data synchronization of the present embodiment corresponds to the aforementioned smart campus data management method based on data synchronization. Therefore, the contents not specifically described in the smart campus data management system based on data synchronization of the present embodiment may include but are not limited to function definitions, working principles and technical effects, etc., and may refer to the aforementioned smart campus data management method based on data synchronization, and this text will not elaborate on them here.

[0046] In summary, the data synchronization-based smart campus data management method and system of this embodiment builds a campus data management model based on historical enrollment resource allocation and academic supervision reminders, and uses existing big data and data synchronization technology to comprehensively integrate student source information, enrollment resource allocation plans, and academic information and supervision reminder plans for multiple years and regions. In this way, it is possible to transform scattered and isolated enrollment and academic data into systematic and deeply analyzable data resources, thereby providing a scientific basis for accurate enrollment resource allocation and effective academic supervision reminders, avoiding resource mismatch and academic problem processing delays caused by the one-sidedness of data in traditional methods, greatly improving the scientificity, rationality and foresight of smart campus data management in enrollment and academic management, and ensuring the efficient implementation of school enrollment and the healthy academic development of students.

[0047] In the embodiments provided in the present application, it should be understood that the embodiments described herein can be implemented in hardware, software, firmware, middleware, code, or any appropriate combination thereof. For hardware implementation, the processor can be implemented in one or more of the following units: an application-specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field programmable gate array (FPGA), a processor, a controller, a microcontroller, a microprocessor, other electronic units designed to implement the functions described herein, or a combination thereof. For software implementation, part or all of the processes of the embodiment can be completed by instructing the relevant hardware through a computer program. When implemented, the above program can be stored in a computer-readable storage medium or transmitted as one or more instructions or codes on a computer-readable storage medium. Computer-readable storage media include computer storage media and communication media, wherein the communication medium includes any medium that facilitates the transmission of a computer program from one place to another. The storage medium can be any available medium that can be accessed by a computer. Computer-readable storage media can include, but are not limited to, RAM, ROM, EEPROM, CD-ROM or other optical disk storage, disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store the desired program code in the form of an instruction or data structure and can be accessed by a computer.

[0048] Finally, it should be noted that the above is only a preferred embodiment of the present application and is not intended to limit the present application. Although the present application has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A smart campus data management method based on data synchronization, characterized in that: The method includes: S1: Building a campus data management model based on the historical allocation of enrollment resources and the historical academic supervision prompts; wherein the campus data management model is used to generate corresponding enrollment resource allocation strategies and academic supervision prompt strategies based on enrollment information synchronization data and academic information synchronization data, the enrollment information synchronization data is used to characterize the student source information of each region and the corresponding enrollment situation, and the academic information synchronization data is used to characterize the academic fluctuations of each student; S2: Obtain real-time allocation of enrollment resources and real-time academic supervision reminders; S3: Run the campus data management model, combine the real-time allocation of enrollment resources and the real-time academic supervision prompts, and generate a real-time enrollment resource allocation strategy and a real-time academic supervision prompt strategy.

2. The smart campus data management method based on data synchronization according to claim 1 is characterized in that: The allocation of enrollment resources is as follows: Use big data technology to obtain information on students from different years and regions and the corresponding enrollment resource allocation plans; Using data synchronization technology, the student source information of different years and different regions and the corresponding enrollment resource allocation plan are synchronized and integrated based on time series, so as to obtain the student source information and the corresponding enrollment situation; wherein, the enrollment step-by-step synchronization is synchronized year by year based on the enrollment year; The student source information and the corresponding enrollment situation and enrollment resource allocation plan are integrated based on the time series to obtain the allocation situation of enrollment resources.

3. The smart campus data management method based on data synchronization according to claim 1 is characterized in that: The academic supervision reminders are as follows: Use big data technology to obtain academic information of different students in different years and corresponding academic supervision and reminder plans; Data synchronization technology is used to synchronize and integrate the academic information of different students in different years and the corresponding academic supervision reminder plans based on time series, so as to obtain the academic supervision reminder situation; wherein, the academic step-by-step synchronization is synchronized year by year based on the academic year.

4. The smart campus data management method based on data synchronization according to claim 1 is characterized in that: The construction process of the campus data management model includes: Obtain information on the allocation of enrollment resources and academic supervision reminders; Generate corresponding enrollment information synchronization data and academic information synchronization data based on the allocation of enrollment resources and the prompts of academic supervision; Based on the enrollment information synchronization data and the academic information synchronization data, the historical enrollment resource allocation and the historical academic supervision prompts are adjusted to generate corresponding enrollment resource allocation strategies and academic supervision prompt strategies.

5. The smart campus data management method based on data synchronization according to claim 1 is characterized in that: The process of obtaining the real-time allocation of enrollment resources and the real-time academic supervision prompts includes: Using a preset enrollment management platform and a preset student management platform to collect corresponding enrollment resource data and academic supervision data in real time; wherein the enrollment management platform receives internal enrollment data and external enrollment data, and the student management platform receives internal academic data; The enrollment resource data and the academic supervision data are processed using data preprocessing technology to obtain corresponding real-time enrollment resource allocation and real-time academic supervision prompts.

6. The smart campus data management method based on data synchronization according to claim 1 is characterized in that: The generation process of the real-time enrollment resource allocation strategy includes: Based on the real-time allocation of enrollment resources, the corresponding student source information synchronization and enrollment situation synchronization are performed to generate corresponding student source information indicators and enrollment situation indicators. Based on the student source information indicators and the enrollment situation indicators, the resource allocation of the corresponding time series of each region is calculated using a preset resource allocation formula; wherein the resource allocation formula is specifically: in, For the number Regions in the time series The following student information indicators, For the number Regions in the time series The following enrollment situation indicators, Indicates each region The whole In time series The sum of the product of the source information index and the enrollment situation index under For all enrollment resources, Indicates each region Belong to the whole , The calculated number is Regions in the time series resource allocation under .

7. The smart campus data management method based on data synchronization according to claim 6 is characterized in that: The generation process of the student source information indicator includes: Acquire real-time data on the number of students and the quality of students and perform corresponding data standardization to obtain standard data on the number of students and the quality of students, assign weights to the corresponding standard data on the number of students and the quality of students, and calculate corresponding student information indicators; wherein the data on the number of students and the quality of students are the sum of data based on each time series and the corresponding data after weight assignment based on the time series.

8. The smart campus data management method based on data synchronization according to claim 6 is characterized in that: The generation process of the enrollment situation indicator includes: Acquire the real-time enrollment plan completion rate and the real-time enrollment competition pressure and perform corresponding data standardization to obtain the standard enrollment plan completion rate and the standard enrollment competition pressure, assign weights to the corresponding standard enrollment plan completion rate and the standard enrollment competition pressure, and calculate the corresponding enrollment situation indicator.

9. The smart campus data management method based on data synchronization according to claim 1 is characterized in that: The generation process of the real-time academic supervision prompt strategy includes: Based on the real-time academic supervision prompts, corresponding academic synchronization is performed to generate corresponding academic performance indicators and academic progress indicators, corresponding academic fluctuation data is obtained based on the academic performance indicators and the academic progress indicators, and corresponding supervision prompts for each student are obtained based on the academic fluctuation data.

10. A smart campus data management system based on data synchronization, the system is applicable to the smart campus data management method based on data synchronization as described in any one of claims 1 to 9, characterized in that: The system includes: Model building module: building a campus data management model based on the historical allocation of enrollment resources and the historical academic supervision prompts; wherein the campus data management model is used to generate corresponding enrollment resource allocation strategies and academic supervision prompt strategies based on enrollment information synchronization data and academic information synchronization data, the enrollment information synchronization data is used to characterize the student source information of each region and the corresponding enrollment situation, and the academic information synchronization data is used to characterize the academic fluctuations of each student; Data acquisition module: obtain real-time allocation of enrollment resources and real-time academic supervision reminders; Model operation module: runs the campus data management model, combines the real-time allocation of enrollment resources and the real-time academic supervision prompts, and generates real-time enrollment resource allocation strategies and real-time academic supervision prompt strategies.

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