A smart campus management system based on the Internet of Things

Abstract

The present invention discloses a smart campus management system based on the Internet of Things. First, the punch-in data and the linkage data of each student are obtained in the data collection layer, and the punch-in data and the linkage data of each student are sorted out every day, and the punch-in data and the linkage data are transmitted to the linkage management layer. Then, the administrator compares and analyzes the punch-in data and the linkage data collected in multiple devices corresponding to the Internet of Things in the linkage management layer, and then warns the analysis results in the statistical layer to judge the authenticity of the punch-in data and the linkage data. When all the analysis results come out, the statistical layer will classify, upload and summarize the multiple data that are carried out simultaneously, so as to facilitate the administrator to check the daily life of the students at school.

Description

Technical Field

[0001] The present invention relates to the technical field of management systems, and in particular to a smart campus management system based on the Internet of Things. Background Art

[0002] Smart campus provides students with various intelligent services, improves students' habits in study and life, promotes innovation in teaching and management models supported by information technology, and realizes efficient and intelligent operation. However, the existing information management system cannot manage from a comprehensive perspective. Based on the above problems, there is an urgent need for a smart campus management system based on the Internet of Things to facilitate managers to view students' daily life at school. Summary of the invention

[0003] The purpose of the present invention is to provide a smart campus management system based on the Internet of Things, so that managers can view the daily life of students at school.

[0004] To achieve the above object, the present invention provides a smart campus management system based on the Internet of Things, the smart campus management system based on the Internet of Things includes a data acquisition layer, a linkage management layer and a statistical layer, and the data acquisition layer, the linkage management layer and the statistical layer are connected in sequence;

[0005] The data collection layer is used to obtain the punch-in data and linkage data of each student and transmit them to the linkage management layer;

[0006] The linkage management layer is used to compare and analyze the collected clock-in data and the linkage data, and call corresponding multiple devices based on the Internet of Things;

[0007] The statistical layer is used to issue an early warning based on the analysis results and to upload and summarize the data.

[0008] Wherein, the linkage management layer includes a judgment module, a power consumption control module and a learning supervision module, and the judgment module, the power consumption control module and the learning supervision module are respectively connected to the data acquisition layer;

[0009] The judgment module is used to compare and analyze the punch-in data and the linkage data to judge the dormitory status of each student;

[0010] The power consumption control module is used to monitor the power consumption of each dormitory and compare it with the instantaneous threshold and the residual threshold;

[0011] The learning supervision module is used to compare each student's dormitory leaving data and course information based on the punch-in data.

[0012] Wherein, the linkage management layer also includes a time setting module, and the time setting module is connected to the power consumption control module;

[0013] The time setting module is used to control the power on and off of the dormitory according to the set time value.

[0014] Wherein, the linkage management layer also includes an Internet of Things control module, and the Internet of Things control module is connected with the time setting module, the power consumption control module and the learning supervision module;

[0015] The Internet of Things control module is used to control the dormitory power switch according to the power consumption, and to issue an early warning based on the comparison result of the learning supervision module.

[0016] Wherein, the learning supervision module includes a display unit and an early warning unit, the display unit is connected to the data acquisition layer, and the early warning unit is connected to the display unit;

[0017] The display unit is used to display the course information and the dormitory leaving data of the corresponding dormitory on the day;

[0018] The early warning unit is used to highlight the course information corresponding to the students in the dormitory according to the dormitory leaving data and the linkage data.

[0019] Wherein, the learning supervision module further comprises a linkage learning unit, and the linkage learning unit is connected to the data acquisition layer;

[0020] The linkage learning unit is used to determine whether to enter the corresponding course information based on the learning data obtained in the check-in data.

[0021] Wherein, the power consumption control module includes an instantaneous power monitoring unit and a power statistics unit, and both the instantaneous power monitoring unit and the power statistics unit are connected to the Internet of Things control module;

[0022] The instantaneous power monitoring unit is used to monitor the real-time power consumption and control the operation of the IoT control module according to the stored instantaneous threshold value;

[0023] The power statistics unit is used to count the usage data of the corresponding dormitory, compare it with the residual threshold, and transmit the comparison result to the statistical layer.

[0024] The present invention discloses a smart campus management system based on the Internet of Things. The smart campus management system based on the Internet of Things includes a data collection layer, a linkage management layer and a statistical layer. First, the punch-in data and the linkage data of each student are obtained in the data collection layer, and the punch-in data and the linkage data of each student are sorted out every day, and the punch-in data and the linkage data are transmitted to the linkage management layer. Then, the administrator collects the punch-in data and the linkage data collected in the corresponding multiple devices called by the Internet of Things in the linkage management layer for comparative analysis, and then warns the analysis results in the statistical layer to judge the authenticity of the punch-in data and the linkage data. If there is no face recognition picture in one device in the punch-in data or the portrait of the punched person is different each time, the punch-in is invalid, and a red icon will appear in the punch-in data, and the linkage data will change at the same time. If the face recognition picture in another device in the punch-in data or the portrait of the punched person each time is the same, the punch-in is successful, and a green icon will appear in the punch-in data, and the linkage data will not change. Then, when all the analysis results are all out, the statistical layer will classify, upload and summarize the multiple data performed simultaneously, so that the administrator can view the daily life of the students at school. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the embodiments of the present invention 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 invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0026] Figure 1 It is a schematic diagram of the steps of a smart campus management system based on the Internet of Things provided by the present invention.

[0027] Figure 2 It is a structural diagram of the linkage management layer provided by the present invention.

[0028] Figure 3 It is a structural schematic diagram of the power consumption control module provided by the present invention.

[0029] Figure 4 It is a structural diagram of the learning supervision module provided by the present invention.

[0030] 1-data acquisition layer, 2-linkage management layer, 21-judgment module, 22-power consumption control module, 221-instantaneous power monitoring unit, 222-power statistics unit, 23-learning supervision module, 231-display unit, 232-early warning unit, 233-linkage learning unit, 24-time setting module, 25-Internet of Things control module, 3-statistics layer, 4-data push layer, 5-storage layer. DETAILED DESCRIPTION

[0031] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.

[0032] In the description of the present invention, “plurality” means two or more than two, unless otherwise clearly and specifically defined.

[0033] See also Figures 1 to 4 The present invention provides a smart campus management system based on the Internet of Things, the smart campus management system based on the Internet of Things comprises a data acquisition layer 1, a linkage management layer 2 and a statistical layer 3, the data acquisition layer 1, the linkage management layer 2 and the statistical layer 3 are connected in sequence;

[0034] The data collection layer 1 is used to obtain the punch-in data and linkage data of each student and transmit them to the linkage management layer 2;

[0035] The linkage management layer 2 is used to compare and analyze the collected clock-in data and the linkage data, and call corresponding multiple devices based on the Internet of Things;

[0036] The statistical layer 3 is used to issue an early warning based on the analysis results and to upload and summarize the data.

[0037] In this embodiment, first, the punch-in data and the linkage data of each student are obtained in the data collection layer 1, and the punch-in data and the linkage data of each student are sorted out every day, and the punch-in data and the linkage data are transmitted to the linkage management layer 2. Then, the administrator collects the punch-in data and the linkage data in the corresponding multiple devices called by the Internet of Things in the linkage management layer 2 for comparative analysis, and then issues an early warning for the analysis result in the statistical layer 3 to judge the authenticity of the punch-in data and the linkage data. If there is no face recognition picture in one device in the punch-in data or the portrait of the person punching in each time is different, the punch-in is invalid, a red icon will appear in the punch-in data, and the linkage data will change at the same time. If the face recognition picture in another device in the punch-in data or the portrait of the person punching in each time is the same, the punch-in is successful, a green icon will appear in the punch-in data, and the linkage data will not change. Then, when all the analysis results are out, the statistical layer 3 will classify, upload and summarize the multiple data that are being conducted simultaneously, so that the administrator can check the daily life of the students at school.

[0038] Furthermore, the IoT-based smart campus management system further includes a data push layer 4, which is connected to the statistics layer 3 and the data collection layer 1;

[0039] The data push layer 4 is used for bidirectional remote data transmission of all data in the statistical layer 3 and the data collection layer 1 to the manager system.

[0040] In this embodiment, the data push layer 4 is connected to the statistical layer 3, and the data push layer 4 is used to perform two-way remote data transmission between the statistical layer 3 and all data in the data collection layer 1 and the management system. When the data collection layer 1 transmits the punch-in data and the linkage data to the statistical layer 3 through the linkage management layer 2, the data of the analysis results of the statistical layer 3 can be transmitted to the data collection layer 1 through the data push layer 4.

[0041] The said smart campus management system based on the Internet of Things also includes a storage layer 5, and the said storage layer 5 is connected with the said data collection layer 1, the said linkage management layer 2, the said statistics layer 3 and the said data push layer 4;

[0042] The storage layer 5 is used for backing up and storing all transmitted and collected data.

[0043] In this embodiment, the storage layer 5 is connected to the data collection layer 1, the linkage management layer 2, the statistical layer 3 and the data push layer 4. The data collection layer 1 transmits the punch-in data and the linkage data to the statistical layer 3 through the linkage management layer 2. During the transmission process, the collected data is backed up and stored to prevent data loss.

[0044] Furthermore, the linkage management layer 2 includes a judgment module 21, a power consumption control module 22 and a learning supervision module 23, and the judgment module 21, the power consumption control module 22 and the learning supervision module 23 are respectively connected to the data collection layer 1;

[0045] The judgment module 21 is used to compare and analyze the punch-in data and the linkage data to judge the dormitory status of each student;

[0046] The power consumption control module 22 is used to monitor the power consumption of each dormitory and compare it with the instantaneous threshold and the residual threshold;

[0047] The learning supervision module 23 is used to compare each student's dormitory leaving data and course information according to the punch-in data.

[0048] In this embodiment, the judgment module 21 is used to judge the dormitory status of each student based on the comparative analysis of the punch-in data and the linkage data. Each student punches in for facial recognition comparison on the punch-in machine. After successfully punching in, the punch-in data is transmitted to the data push layer 4, and then transmitted by the data push layer 4 to the statistical layer 3 for analysis and judgment, and finally summarized. The power consumption control module 22 is used to monitor the power consumption of each dormitory and compare it with the instantaneous threshold and the residual threshold. When the student uses high-power electrical appliances in the dormitory exceeding the instantaneous threshold, or the total power consumption exceeds the residual threshold, the power consumption control module 22 will automatically cut off the power to prevent fire in the dormitory. The learning supervision module 23 is used to compare the dormitory exit data and course information of each student based on the punch-in data. When a student enters the dormitory gate, he can only enter by punching in. The punch-in data is transmitted to the linkage management layer 2. The learning supervision module 23 will be automatically generated within the class time range. When the student has class, the dormitory gate will be automatically locked, and the student cannot open the gate by punching in.

[0049] Furthermore, the linkage management layer 2 further includes a time setting module 24, and the time setting module 24 is connected to the power consumption control module 22;

[0050] The time setting module 24 is used to control the power on and off of the dormitory according to the set time value.

[0051] In this embodiment, the time setting module 24 is connected to the power control module 22. The time setting module 24 is used to control the power on and off of the dormitory according to the set time value. When the students should go to bed in the middle of the night, the administrator controls the time setting module 24 by linking the management layer 2 to prevent students from staying up late to play games. Until the timer in the morning, the time setting module 24 will automatically turn on the power control module 22 and automatically power on.

[0052] Furthermore, the linkage management layer 2 further includes an Internet of Things control module 25, and the Internet of Things control module 25 is connected to the time setting module 24, the power consumption control module 22 and the learning supervision module 23;

[0053] The IoT control module 25 is used to control the dormitory power switch according to the power consumption, and to issue an early warning according to the comparison result of the learning supervision module 23.

[0054] In this embodiment, the Internet of Things control module 25 is used to control the dormitory power switch according to the power consumption, and is used to limit the current of high-power electrical appliances in the dormitory. At the same time, according to the comparison results of the learning supervision module 23, it is used to effectively check the student's absence records to see whether the student is playing games in the dormitory. If so, the information is transmitted to the manager's management device through the Internet of Things control module for prompting, thereby effectively checking the student's geographical location and attendance, reducing the burden on the manager to check one by one.

[0055] Further, the learning supervision module 23 includes a display unit 231 and an early warning unit 232, the display unit 231 is connected to the data acquisition layer 1, and the early warning unit 232 is connected to the display unit 231;

[0056] The display unit 231 is used to display the course information and the dormitory leaving data of the corresponding dormitory on the day;

[0057] The early warning unit 232 is used to highlight the course information corresponding to the students in the dormitory according to the dormitory leaving data and the linkage data.

[0058] In this embodiment, the display unit 231 is used to display the course information and the dormitory exit data of the corresponding dormitory for the day, and is connected and transmitted to the display unit 231 through the data acquisition layer 1. The manager transmits the course information to the data acquisition layer 1. The data acquisition layer 1 transmits the dormitory exit data to the display unit 231 through the students' daily clocking in, so that the students can check their own course information and dormitory exit data. The early warning unit 232 is used to highlight the course information corresponding to the students in the dormitory according to the dormitory exit data and the linkage data. The display unit 231 is connected to the early warning unit 232, and the information of the display unit 231 is transmitted to the early warning unit 232 for judgment, reminding the students of the course information, and transmitting the dormitory exit data to the statistical layer 3 for aggregation, which is convenient for the manager to manage.

[0059] Furthermore, the learning supervision module 23 further includes a linkage learning unit 233, and the linkage learning unit 233 is connected to the data acquisition layer 1;

[0060] The linkage learning unit 233 is used to determine whether to enter the corresponding course information based on the learning data obtained in the check-in data.

[0061] In this embodiment, the linkage learning unit 233 is used to obtain learning data from the punch-in data, which is transmitted to the linkage learning unit 233 through the data collection layer 1 to check whether the student has punched in, and then determine whether to enter the corresponding course information. If the punch-in is successful, the student will enter the corresponding course for class. If the punch-in fails, the learning data of the linkage learning unit 233 is transmitted to the statistical layer 3, and then the manager will inform and criticize the student.

[0062] Furthermore, the power consumption control module 22 includes an instantaneous power monitoring unit 221 and a power statistics unit 222, and both the instantaneous power monitoring unit 221 and the power statistics unit 222 are connected to the IoT control module 25;

[0063] The instantaneous power monitoring unit 221 is used to monitor the real-time power consumption and control the operation of the IoT control module 25 according to the stored instantaneous threshold value;

[0064] The power statistics unit 222 is used to count the usage data of the corresponding dormitory, compare it with the residual threshold, and transmit the comparison result to the statistical layer 3.

[0065] In this embodiment, the instantaneous power monitoring unit 221 is used to monitor the real-time power consumption. When students use high-power electrical appliances in the dormitory, the real-time power consumption will increase. The instantaneous power monitoring unit 221 will record the instantaneous power at this time, and then control the operation of the Internet of Things control module 25 according to the stored instantaneous threshold. The power statistics unit 222 is used to count the usage data of the corresponding dormitory, which is convenient for managers to view the usage data, reduce the time of managers, and improve efficiency. According to the comparison with the residual threshold, the comparison result is transmitted to the statistical layer 3, which is convenient for managers to calculate the monthly electricity consumption and the amount of students' payments.

[0066] The present invention discloses a smart campus management system based on the Internet of Things, which includes a data collection layer 1, a linkage management layer 2 and a statistical layer 3. First, the punch-in data and the linkage data of each student are obtained in the data collection layer 1, and the punch-in data and the linkage data of each student are sorted out every day, and the punch-in data and the linkage data are transmitted to the linkage management layer 2. Then, the administrator compares and analyzes the punch-in data and the linkage data collected in the corresponding multiple devices called by the Internet of Things in the linkage management layer 2, and then warns the analysis results in the statistical layer 3. Determine the authenticity of the punch-in data and the linkage data. If there is no face recognition image in one device in the punch-in data or the portrait of the person punching in each time is different, the punch-in is invalid, a red icon will appear in the punch-in data, and the linkage data will change at the same time. If the face recognition image in another device in the punch-in data or the portrait of the person punching in each time is the same, the punch-in is successful, a green icon will appear in the punch-in data, and the linkage data will not change. Then, when all the analysis results are out, the statistical layer 3 will classify, upload and summarize the multiple data conducted simultaneously, so that managers can check the daily life of students at school.

[0067] What is disclosed above is only a preferred embodiment of the present invention, and it certainly cannot be used to limit the scope of rights of the present invention. Ordinary technicians in this field can understand that all or part of the processes of the above embodiment and equivalent changes made according to the claims of the present invention still fall within the scope of the invention.

Claims

1. A smart campus management system based on the Internet of Things, characterized in that: The smart campus management system based on the Internet of Things includes a data collection layer, a linkage management layer and a statistical layer, and the data collection layer, the linkage management layer and the statistical layer are connected in sequence; The data collection layer is used to obtain the punch-in data and linkage data of each student and transmit them to the linkage management layer; The linkage management layer is used to compare and analyze the collected clock-in data and the linkage data, and call corresponding multiple devices based on the Internet of Things; The statistical layer is used to issue warnings based on the analysis results and upload and summarize the data; The IoT-based smart campus management system further includes a data push layer, which is connected to the statistics layer and the data collection layer; The data push layer is used to perform two-way remote data transmission of all data in the statistics layer and the data collection layer to the manager system; The linkage management layer includes a judgment module, a power consumption control module and a learning supervision module, and the judgment module, the power consumption control module and the learning supervision module are respectively connected to the data acquisition layer; The judgment module is used to judge the dormitory return status of each student based on the comparison and analysis of the punch-in data and the linkage data. Each student punches in the punch card machine through face recognition comparison. After the punch-in is successful, the punch-in data is transmitted to the data push layer, and then transmitted to the statistical layer by the data push layer for analysis and judgment, and finally summarized. The power consumption control module is used to monitor the power consumption of each dormitory and compare it with the instantaneous threshold and the residual threshold. When the student uses high-power electrical appliances in the dormitory exceeding the instantaneous threshold, or the total power consumption exceeds the residual threshold, the power consumption control module will automatically cut off the power to prevent fire in the dormitory. The learning supervision module is used to compare the dormitory exit data and course information of each student based on the punch-in data. When a student enters the dormitory gate, he can only enter by punching in. The punch-in data is transmitted to the linkage management layer. The learning supervision module will be automatically generated within the class time range. When the student has class, the dormitory gate will be automatically locked, and the student cannot open the gate by punching in. The linkage management layer further includes a time setting module, and the time setting module is connected to the power consumption control module; The time setting module is used to control the power on and off of the dormitory according to the set time value; The time setting module is used to control the power on and off of the dormitory according to the set time value. When the students should go to bed in the middle of the night, the administrator controls the time setting module by linking the management layer to prevent students from staying up late to play games. Until the timer in the morning, the time setting module will automatically turn on the power control module and automatically power on. The linkage management layer further includes an Internet of Things control module, which is connected to the time setting module, the power consumption control module and the learning supervision module; The IoT control module is used to control the dormitory switch according to the power consumption, and to issue an early warning according to the comparison result of the learning supervision module; The IoT control module is used to control the dormitory switch according to the power consumption, and is used to limit the current of the high-power electrical appliances in the dormitory. At the same time, according to the comparison result of the learning supervision module, it is used to effectively check the student's absence record to see whether he is playing games in the dormitory. If so, it is transmitted to the administrator's management device through the IoT control module for prompting, effectively checking the student's geographical location and attendance, reducing the burden of the administrator to check one by one; The learning supervision module includes a display unit and an early warning unit, wherein the display unit is connected to the data acquisition layer, and the early warning unit is connected to the display unit; The display unit is used to display the course information and the dormitory leaving data of the corresponding dormitory on the day; The early warning unit is used to highlight the course information corresponding to the students in the dormitory according to the dormitory leaving data and the linkage data; The display unit is used to display the course information and the dormitory exit data of the corresponding dormitory for the day, which are transmitted to the display unit through the data acquisition layer connection. The manager transmits the course information to the data acquisition layer. The data acquisition layer transmits the dormitory exit data to the display unit through the students' daily clocking in, so that students can check their own course information and dormitory exit data. The early warning unit is used to highlight the course information corresponding to the students in the dormitory according to the dormitory exit data and the linkage data. The display unit is connected to the early warning unit, and the information of the display unit is transmitted to the early warning unit for judgment, reminding students of the course information, and transmitting the dormitory exit data to the statistical layer for summary, which is convenient for managers to manage.

2. The smart campus management system based on the Internet of Things as claimed in claim 1, characterized in that: The learning supervision module also includes a linkage learning unit, and the linkage learning unit is connected to the data acquisition layer; The linkage learning unit is used to determine whether to enter the corresponding course information based on the learning data obtained in the check-in data.

3. The smart campus management system based on the Internet of Things as claimed in claim 1, characterized in that: The power consumption control module includes an instantaneous power monitoring unit and a power statistics unit, and both the instantaneous power monitoring unit and the power statistics unit are connected to the IoT control module; The instantaneous power monitoring unit is used to monitor the real-time power consumption and control the operation of the IoT control module according to the stored instantaneous threshold value; The power statistics unit is used to count the usage data of the corresponding dormitory, compare it with the residual threshold, and transmit the comparison result to the statistical layer.

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