Campus management system based on artificial intelligence

Abstract

The invention relates to the technical field of campus management, in particular to a campus management system based on artificial intelligence, and the system comprises the steps: recording a campus service point where a student terminal continuously stays as a use point; the campus management end adjusts the spatial distance between the campus service points according to the management table, and the higher the number of the statistical identifiers is, the shorter the distance is; according to the number of the management table statistics identifiers from high to low, a basis is generated for the copywriting, and a guide message is pushed to a lower grade; pushing a guide message to a higher grade from low to high; according to the invention, the management table is generated by analyzing the relationship between the use points to optimize the layout of the campus service points, so that the campus service position is re-planned and the congestion is reduced; according to the student grade information, through pushing the personalized guiding message, the lower grade students are helped to rapidly adapt to the campus life, the higher grade students are guided to explore the service points which are less used in the campus, the higher grade students and the lower grade students are separated, the congestion is reduced, the campus management efficiency is improved, and the management difficulty and cost are reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of campus management, and in particular to an artificial intelligence-based campus management system. Background Art

[0002] Nowadays, various campus service points such as catering, medical care, sports, entertainment, transportation, psychological counseling, library, and academic administration are scattered throughout the campus. When students need different services, they need to travel across the campus. Due to the dispersion of various campus service points, it takes a lot of time to reach the service points, which reduces efficiency. In addition, accidents often occur on campus due to students colliding with each other in a hurry. At the same time, lower grade students are unfamiliar with various places and stay on the road for a long time. If there are too many of them, it will cause congestion, which is very unfavorable for campus management. Therefore, it is necessary to make adaptive adjustments to the existing services. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide an artificial intelligence-based campus management system that can plan campus service locations according to needs and reduce congestion.

[0004] In order to solve the above technical problems, the technical solution adopted by the present invention is: an artificial intelligence-based campus management system, comprising: Student terminals record the campus service points that the student terminals pass through and calculate the stay time, and record the campus service points where the students stay continuously as usage points; The campus management terminal has an artificial intelligence component that obtains the usage points generated by all student terminals, records the relationship between each usage point and the next consecutive usage point in time as a statistical identifier, and counts the data of the relationship between all two usage points with the same statistical identifier. After the statistics are completed, the data is sorted to obtain a management table, and the sorting method is from high to low according to the number of statistical identifiers; The campus management terminal adjusts the spatial distance between each campus service point according to the management table. The higher the number of statistical identifiers, the shorter the distance. After the adjustment is completed, the artificial intelligence component obtains the identity information of the student terminal. The identity information includes grade information. The artificial intelligence component generates copy based on the number of statistical identifiers in the management table from high to low, and pushes guidance messages to students in lower grades; the artificial intelligence component generates copy based on the number of statistical identifiers in the management table from low to high, and pushes guidance messages to students in higher grades.

[0005] Preferably, the campus management end calculates the peak time period and off-peak time period of the usage point, and increases the service personnel of the campus service point before the peak time period, reduces the service personnel of the campus service point during the off-peak time period, or adjusts the service personnel of the campus service point to the campus service point in the peak time period.

[0006] Preferably, the campus service points include fixed service points and active service points. When the campus management end adjusts the spatial distance between each campus service point according to the management table, the fixed service point is used as the anchor point for adjustment. The higher the number of statistical identifiers, the shorter the distance. When the active service point has a statistical identifier quantity relationship with multiple fixed service points, the fixed service point with the largest statistical identifier is selected as the anchor point for adjustment, and the active service point will no longer be adjusted.

[0007] Preferably, the campus management terminal adjusts the spatial distances between various campus service points according to the management table every year, and the adjustment time point is the summer vacation or winter vacation every year.

[0008] Preferably, the student terminal has a map program, and the artificial intelligence component guides in the map program when pushing guidance.

[0009] Preferably, the student terminal is provided with a camera and a display screen, and the camera is started when the artificial intelligence component pushes guidance, and AR navigation is performed on the display screen according to the map program.

[0010] Preferably, when the usage point is generated, the student terminal can perform a service rating on the corresponding campus service point; The AI component calculates the service score when collecting usage points to determine whether the corresponding campus service point has a downward trend. If so, it provides feedback to the campus.

[0011] Preferably, the continuous stay means that the student terminal stays within the campus service point for more than 3 minutes.

[0012] Preferably, before an event occurs on campus, the artificial intelligence component pushes information about the event to student terminals and simultaneously inquires about the students' intention to participate.

[0013] Preferably, the artificial intelligence component does not include the campus service point where the event is held in the information about the event pushed to the student terminal; after the student feedback, the artificial intelligence component conducts statistics based on the content of the student feedback and determines whether the campus service point where the event is scheduled to be held can withstand the event. If so, the campus service point information will be notified; if not, the campus management end will reselect the campus service point and inform the student terminal.

[0014] The beneficial effects of the present invention are as follows: by recording the usage points generated by student terminals, campus service points can be identified as usage points based on usage time, and each usage point is not based on distance as a reference, but on student needs. By analyzing the pattern and frequency of students using campus service points, the system can help campus managers plan campus facilities more reasonably, and then when adjusting the spatial distances of various campus service points in the future, the continuity of campus service points can be met, and the spatial distances of students traveling to different campus service points can be shortened. For example, service points frequently used by students can be arranged closer to improve efficiency and convenience, and reduce the difficulty of management; further, combined with artificial intelligence push Because younger students are less familiar with the school, AI-powered guidance can be used to push different guidance messages to older and younger students. This improves the speed and direction of younger students' movement through the school. Furthermore, the management table reflects the living habits of most students and the relevance of different campus service points. The adjusted location of campus service points, combined with AI-powered notifications, helps younger students adapt to campus life more quickly, thereby improving campus management effectiveness. Furthermore, because older students are already familiar with the campus but not necessarily familiar with all campus service points, reverse notifications can be used to revitalize unused service points on campus through older students. By counting the number of IDs, campus administrators can understand which service points are most needed by students, enabling more targeted budget allocation and resource planning. The system can proactively detect unusual patterns in student behavior, such as a sudden increase in student traffic in a certain area, which may indicate an emergency. This allows campus administrators to respond promptly, reducing the difficulty and cost of campus management while also improving the student experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 The figure is a flow chart of an artificial intelligence-based campus management system according to a specific embodiment of the present invention. DETAILED DESCRIPTION

[0016] To illustrate the technical content, achieved objectives and effects of the present invention in detail, the following description is given in conjunction with the embodiments and accompanying drawings.

[0017] Please refer to Figure 1 , an artificial intelligence-based campus management system, including: Student terminals record the campus service points that the student terminals pass through and calculate the stay time, and record the campus service points where the students stay continuously as usage points; The campus management terminal has an artificial intelligence component that obtains the usage points generated by all student terminals, records the relationship between each usage point and the next consecutive usage point in time as a statistical identifier, and counts the data of the relationship between all two usage points with the same statistical identifier. After the statistics are completed, the data is sorted to obtain a management table, and the sorting method is from high to low according to the number of statistical identifiers; The campus management terminal adjusts the spatial distance between each campus service point according to the management table. The higher the number of statistical identifiers, the shorter the distance. After the adjustment is completed, the artificial intelligence component obtains the identity information of the student terminal. The identity information includes grade information. The artificial intelligence component generates copy based on the number of statistical identifiers in the management table from high to low, and pushes guidance messages to students in lower grades; the artificial intelligence component generates copy based on the number of statistical identifiers in the management table from low to high, and pushes guidance messages to students in higher grades.

[0018] From the above description, it can be seen that by recording the usage points generated by student terminals, campus service points can be identified as usage points based on usage time. The distance between each usage point is not a reference, but a reference to the needs of students. By analyzing the pattern and frequency of students using campus service points, the system can help campus managers plan campus facilities more reasonably, and then adjust the spatial distance between each campus service point in the future to meet the continuity of campus service points, and shorten the spatial distance of students going to different campus service points. For example, service points that students frequently use can be arranged closer to improve efficiency and convenience, and reduce the difficulty of management; further, combined with artificial intelligence push, due to the low grade students' Due to the difference in familiarity with the school, AI-based guidance can be used to push different guidance messages to senior and junior students, improving the speed and direction of junior students' movement through the school. Furthermore, the management table can reflect the living habits of most students and the relevance of different campus service points. The adjusted location of campus service points, combined with AI-based push notifications, can help junior students adapt to campus life more quickly, thereby improving campus management effectiveness. Furthermore, since senior students are already familiar with the campus but not necessarily familiar with all campus service points, reverse push notifications can be used to revitalize idle service points on campus through senior students. By separating senior and junior students, congestion can be reduced. By counting the number of IDs, campus administrators can understand which service points are most needed by students, enabling more targeted budget allocation and resource planning. The system can also proactively detect unusual patterns in student behavior, such as a sudden increase in student traffic in a certain area, which may indicate an emergency situation. This allows campus administrators to respond promptly, reducing the difficulty and cost of campus management.

[0019] Furthermore, the campus management side calculates the peak time period and off-peak time period of the usage point, and increases the service personnel of the campus service point before the peak time period, reduces the service personnel of the campus service point during the off-peak time period, or adjusts the service personnel of the campus service point to the campus service point during the peak time period.

[0020] From the above description, we can see that by calculating the peak and off-peak hours of usage points, resources can be allocated according to the peak hours when students use campus service points. For example, the number of service personnel can be increased during peak hours, or resource input can be reduced when student demand is low. This can achieve better mobility, ensure that service resources are used more effectively, and reduce the difficulty of campus management.

[0021] Furthermore, the campus service points include fixed service points and active service points. When the campus management end adjusts the spatial distance between each campus service point according to the management table, the fixed service point is used as the anchor point for adjustment. The higher the number of statistical identifiers, the shorter the distance. When the active service point has a statistical identifier quantity relationship with multiple fixed service points, the fixed service point with the largest statistical identifier is selected as the anchor point for adjustment, and the active service point will no longer be adjusted.

[0022] From the above description, we can see that by setting fixed service points and active service points, fixed service points such as teaching buildings, cafeterias and dormitories, which serve as anchor points and are not adjusted, active service points include laundries, supermarkets, transportation points, etc., which can be adjusted as needed. For example, the supermarket was originally closest to the cafeteria, but the management table shows that the statistical mark of students going from the dormitory to the supermarket is the highest, so the supermarket will be adjusted towards the dormitory, with the highest point being the closest.

[0023] Furthermore, the campus management terminal adjusts the spatial distances between various campus service points according to the management table every year, and the adjustment time point is the summer vacation or winter vacation every year.

[0024] From the above description, we can see that by adjusting the campus service points every year, we can gradually adapt to the changes brought about by students and avoid being out of touch with students, which would cause difficulties in campus management. For example, the existing psychological counseling rooms did not even exist before, but now the use of psychological counseling rooms has increased year by year, and we are also better able to understand the development trends of students.

[0025] Furthermore, the student terminal has a map program, and the artificial intelligence component guides in the map program when pushing guidance.

[0026] From the above description, it can be seen that the guidance effect can be improved by using a map program for guidance.

[0027] Furthermore, the student terminal is equipped with a camera and a display screen. The camera is activated when the artificial intelligence component pushes guidance, and AR navigation is performed on the display screen according to the map program.

[0028] Furthermore, when the usage point is generated, the student terminal can rate the service of the corresponding campus service point; The AI component calculates the service score when collecting usage points to determine whether the corresponding campus service point has a downward trend. If so, it provides feedback to the campus.

[0029] From the above description, it can be seen that by calculating in advance whether there is a downward trend in campus service points, it is possible to predict the campus service points and avoid greater problems or conflicts when they are discovered later.

[0030] Furthermore, a continuous stay refers to a student terminal staying within the campus service point for more than 3 minutes.

[0031] From the above description, we can see that by adopting a 3-minute timing, it usually takes students 1-2 minutes to pass through a place. Once it exceeds this time, they are using the corresponding campus service point.

[0032] Furthermore, before an event occurs on campus, the artificial intelligence component pushes information about the event to student terminals and simultaneously inquires about the students' intention to participate.

[0033] From the above description, it can be seen that through advance inquiries by artificial intelligence components, the approximate number of students participating can be obtained, which facilitates the campus management to make corresponding plans and reduce management difficulty.

[0034] Furthermore, the artificial intelligence component does not include the campus service point where the event is held in the information about the event pushed to the student terminal; after the student feedback, the artificial intelligence component conducts statistics based on the content of the student feedback and determines whether the campus service point where the event is scheduled to be held can withstand the event. If so, the campus service point information will be notified; if not, the campus management end will reselect the campus service point and inform the student terminal.

[0035] Example 1 An artificial intelligence-based campus management system, comprising: Student terminals record the campus service points that the student terminals pass through and calculate the stay time, and record the campus service points where the students stay continuously as usage points; The campus management terminal has an artificial intelligence component that obtains the usage points generated by all student terminals, records the relationship between each usage point and the next consecutive usage point in time as a statistical identifier, and counts the data of the relationship between all two usage points with the same statistical identifier. After the statistics are completed, the data is sorted to obtain a management table, and the sorting method is from high to low according to the number of statistical identifiers; For example: The following data is for example only; The statistical identification of the journey from dormitory (use point) to supermarket (use point) is 97,762 times; The statistical identification of dormitory (use point) to community (use point) is 31,254 times; The statistical identification of the journey from dormitory (use point) to transportation point 1 (use point) is 82,162 times; The statistical identification from the teaching building (use point) to traffic point 2 (use point) is 79,721 times; The statistical identification from the teaching building (use point) to the cafe (use point) is 35,882 times; The statistical identification of the trip from the cafeteria (point of use) to the supermarket (point of use) is 65,733 times; The statistical identification from the cafeteria (use point) to the community (use point) is 73,584 times; The statistical identification from the cafeteria (point of use) to the projection room (point of use) is 43,166 times; The campus management end adjusts the spatial distance between each campus service point according to the management table. The higher the number of statistical identifiers, the shorter the distance. The campus service points include fixed service points and active service points. When the campus management end adjusts the spatial distance between each campus service point according to the management table, the fixed service point is used as the anchor point for adjustment. The higher the number of statistical identifiers, the shorter the distance. When the active service point has a statistical identifier quantity relationship with multiple fixed service points, the fixed service point with the largest statistical identifier is selected as the anchor point for adjustment, and the active service point will no longer be adjusted.

[0036] That is, when the above example is adjusted: the dormitories, teaching buildings, and canteens mentioned above are fixed service points, and the others are mobile service points; The statistical indicator from the dormitory (use point) to the supermarket (use point) is greater than the statistical indicator from the cafeteria (use point) to the supermarket (use point), so the supermarket can be moved to the dormitory building and closer to the dormitory than transportation point 1 (use point). Since the statistical indicator of the club (use point) is higher than that of the cafeteria (use point), it is not included in the ranking of the dormitory, a fixed service point. The statistical mark from the teaching building (use point) to traffic point 2 (use point) is larger than the statistical mark from the teaching building (use point) to the cafe (use point), which means that traffic point 2 (use point) is closer to the teaching building (use point). Since the statistical identifier from the cafeteria (use point) to the supermarket (use point) is smaller than the statistical identifier from the dormitory (use point) to the supermarket (use point), it does not participate in the ranking of the cafeteria as a fixed service point. By comparing the statistical identifiers of the club (use point) and the screening room (use point), it can be concluded that the club should be located near the cafeteria (use point).

[0037] After the adjustment is completed, the artificial intelligence component obtains the identity information of the student terminal. The identity information includes grade information. The artificial intelligence component generates copy based on the number of statistical identifiers in the management table from high to low, and pushes guidance messages to students in lower grades; the artificial intelligence component generates copy based on the number of statistical identifiers in the management table from low to high, and pushes guidance messages to students in higher grades.

[0038] The campus management side calculates the peak time period and off-peak time period of the usage point, and increases the service personnel of the campus service point before the peak time period, reduces the service personnel of the campus service point during the off-peak time period, or adjusts the service personnel of the campus service point to the campus service point during the peak time period.

[0039] The campus management side adjusts the spatial distance between each campus service point according to the management table every year, and the adjustment time point is the summer vacation or winter vacation every year.

[0040] The student terminal has a map program, and the artificial intelligence component will guide the map program when pushing guidance.

[0041] The student terminal is equipped with a camera and a display screen. When the artificial intelligence component pushes guidance, the camera is started and AR navigation is performed on the display screen according to the map program.

[0042] When using points, student terminals can rate the corresponding campus service points; The AI component calculates the service score when collecting usage points to determine whether the corresponding campus service point has a downward trend. If so, it provides feedback to the campus.

[0043] A continuous stay is defined as a student terminal staying within the campus service point for more than 3 minutes.

[0044] Before an event occurs on campus, the artificial intelligence component pushes information about the event to student terminals and simultaneously asks students about their intention to participate.

[0045] When the artificial intelligence component pushes information about event events to student terminals, it does not include the campus service point where the event is held. After receiving student feedback, the artificial intelligence component conducts statistics based on the content of the student feedback and determines whether the campus service point where the event is scheduled to be held can withstand the event. If so, the campus service point information will be notified. If not, the campus management end will reselect the campus service point and inform the student terminal.

[0046] Example 2 An artificial intelligence-based campus management system, comprising: Student terminals record the campus service points that the student terminals pass through and calculate the stay time, and record the campus service points where the students stay continuously as usage points; The campus management terminal has an artificial intelligence component that obtains the usage points generated by all student terminals, records the relationship between each usage point and the next consecutive usage point in time as a statistical identifier, and counts the data of the relationship between all two usage points with the same statistical identifier. After the statistics are completed, the data is sorted to obtain a management table, and the sorting method is from high to low according to the number of statistical identifiers; The campus management terminal adjusts the spatial distance between each campus service point according to the management table. The higher the number of statistical identifiers, the shorter the distance. After the adjustment is completed, the artificial intelligence component obtains the identity information of the student terminal. The identity information includes grade information. The artificial intelligence component generates copy based on the number of statistical identifiers in the management table from high to low, and pushes guidance messages to students in lower grades; the artificial intelligence component generates copy based on the number of statistical identifiers in the management table from low to high, and pushes guidance messages to students in higher grades.

[0047] The campus management side calculates the peak time period and off-peak time period of the usage point, and increases the service personnel of the campus service point before the peak time period, reduces the service personnel of the campus service point during the off-peak time period, or adjusts the service personnel of the campus service point to the campus service point during the peak time period.

[0048] The campus service points include fixed service points and active service points. When the campus management end adjusts the spatial distance between each campus service point according to the management table, the fixed service point is used as the anchor point for adjustment. The higher the number of statistical identifiers, the shorter the distance. When the active service point has a statistical identifier quantity relationship with multiple fixed service points, the fixed service point with the largest statistical identifier is selected as the anchor point for adjustment, and the active service point will no longer be adjusted.

[0049] The campus management side adjusts the spatial distance between each campus service point according to the management table every year, and the adjustment time point is the summer vacation or winter vacation every year.

[0050] The student terminal has a map program, and the artificial intelligence component will guide the map program when pushing guidance.

[0051] A continuous stay is defined as a student terminal staying within the campus service point for more than 3 minutes.

[0052] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent transformations made using the contents of the present invention's description and drawings, or directly or indirectly applied in related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A campus management system based on artificial intelligence, characterized in that: include: Student terminals record the campus service points that the student terminals pass through and calculate the stay time, and record the campus service points where the students stay continuously as usage points; The campus management terminal has an artificial intelligence component that obtains the usage points generated by all student terminals, records the relationship between each usage point and the next consecutive usage point in time as a statistical identifier, and counts the data of the relationship between all two usage points with the same statistical identifier. After the statistics are completed, the data is sorted to obtain a management table, and the sorting method is from high to low according to the number of statistical identifiers; The campus management terminal adjusts the spatial distance between each campus service point according to the management table. The higher the number of statistical identifiers, the shorter the distance. After the adjustment is completed, the AI component obtains the identity information of the student terminal, which includes grade information. The AI component generates copywriting based on the number of statistical identifiers in the management table, from high to low, and pushes guidance messages to students in lower grades. The artificial intelligence component generates copy based on the number of statistical identifiers in the management table from low to high, and pushes guidance messages to senior students.

2. The campus management system based on artificial intelligence according to claim 1 is characterized in that: The campus management side calculates the peak time period and off-peak time period of the usage point, and increases the service personnel of the campus service point before the peak time period, reduces the service personnel of the campus service point during the off-peak time period, or adjusts the service personnel of the campus service point to the campus service point during the peak time period.

3. The campus management system based on artificial intelligence according to claim 1 is characterized in that: The campus service points include fixed service points and active service points. When the campus management end adjusts the spatial distance between each campus service point according to the management table, the fixed service point is used as the anchor point for adjustment. The higher the number of statistical identifiers, the shorter the distance. When the active service point has a statistical identifier quantity relationship with multiple fixed service points, the fixed service point with the largest statistical identifier is selected as the anchor point for adjustment, and the active service point will no longer be adjusted.

4. The campus management system based on artificial intelligence according to claim 1 is characterized in that: The campus management side adjusts the spatial distance between each campus service point according to the management table every year, and the adjustment time point is the summer vacation or winter vacation every year.

5. The campus management system based on artificial intelligence according to claim 1 is characterized in that: The student terminal has a map program, and the artificial intelligence component will guide the map program when pushing guidance.

6. The campus management system based on artificial intelligence according to claim 5 is characterized in that: The student terminal is equipped with a camera and a display screen. When the artificial intelligence component pushes guidance, the camera is started and AR navigation is performed on the display screen according to the map program.

7. The campus management system based on artificial intelligence according to claim 1 is characterized in that: When using points, student terminals can rate the corresponding campus service points; The AI component calculates the service score when collecting usage points to determine whether the corresponding campus service point has a downward trend. If so, it provides feedback to the campus.

8. The campus management system based on artificial intelligence according to claim 1 is characterized in that: A continuous stay is defined as a student terminal staying within the campus service point for more than 3 minutes.

9. The campus management system based on artificial intelligence according to claim 1 is characterized in that: Before an event occurs on campus, the artificial intelligence component pushes information about the event to student terminals and simultaneously asks students about their intention to participate.

10. The campus management system based on artificial intelligence according to claim 9 is characterized in that: The AI component does not include the campus service point where the event is held in the event information pushed to student terminals; After the students provide feedback, the artificial intelligence component will collect statistics based on the content of the student feedback and determine whether the campus service point where the event is scheduled to be held can withstand the event. If it can, the campus service point information will be notified. If not, the campus management end will reselect the campus service point and inform the student terminal.

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