Smart campus management system and method based on smart cloud and AI technology

Abstract

The invention discloses a smart campus management system based on a smart cloud and an AI technology. The smart campus management system comprises a vehicle passing positioning module, a vehicle information monitoring module, a voice warning module, a cloud data storage module, a network data transmission module and a monitoring processing center. The vehicle passing positioning module is used for tracking the position of a foreign vehicle in the campus in real time; the vehicle information monitoring module comprises radar equipment and an AI camera, and is used for collecting the speed, license plate and position information of a foreign vehicle so as to monitor the foreign vehicle in real time; the monitoring processing center is used for processing the foreign vehicle information collected by the vehicle information monitoring module so as to calculate the speed of the foreign vehicle; the smart campus management system based on the smart cloud and the AI technology can accurately and quickly monitor the speed of the foreign vehicle online, and can respond in time once the foreign vehicle is monitored to be overspeed in the campus, so that the driving safety of the campus vehicle can be managed well and intelligently, and the management efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of smart campus management. Specifically, it relates to a smart campus management system and method based on smart cloud and AI technologies. Background Art

[0002] With the development of various tasks such as the opening of college campuses and the socialization of logistics, various vehicles and personnel have flooded into the campuses in large numbers. The traffic volume of vehicles and the number of active personnel in college campuses have been increasing annually. To a certain extent, it has seriously affected the safety and stability of the campuses.

[0003] Existing campus security measures usually require security personnel to regularly patrol the roads on campus to check for potential safety hazards caused by speeding of external vehicles. However, this method not only brings a large workload to security personnel but also cannot promptly detect and warn speeding vehicles, thus failing to effectively manage them.

[0004] Therefore, it is an urgent problem to be solved by the present invention to provide a smart campus management system based on smart cloud and AI technologies that can accurately and quickly online monitor the vehicle speeds of external vehicles during use. Once it detects that an external vehicle is speeding on campus, it can respond promptly, thereby being able to well manage the safety of campus vehicle driving intelligently and improving the management efficiency. Summary of the Invention

[0005] In view of the above technical problems, the object of the present invention is to overcome the problems of existing campus security measures that usually require security personnel to regularly patrol the roads on campus to check for potential safety hazards caused by speeding of external vehicles. This method not only brings a large workload to security personnel but also cannot promptly detect and warn speeding vehicles, thus failing to effectively manage them. Therefore, a smart campus management system based on smart cloud and AI technologies is provided that can accurately and quickly online monitor the vehicle speeds of external vehicles during use. Once it detects that an external vehicle is speeding on campus, it can respond promptly, thereby being able to well manage the safety of campus vehicle driving intelligently and improving the management efficiency.

[0006] To achieve the above object, the present invention provides a smart campus management system based on smart cloud and AI technologies. The system includes: a vehicle passing and positioning module, a vehicle information monitoring module, a voice warning module, a cloud data storage module, a network data transmission module, and a monitoring and processing center. Among them, The vehicle passing and positioning module is used to track the position of external vehicles on campus in real time. The vehicle information monitoring module includes: a radar device and an AI camera, which are used to collect the vehicle speed, license plate, and position information of external vehicles to monitor external vehicles in real time. The voice warning module emits a warning signal when the speed of an external vehicle exceeds a threshold value, warning the external vehicle to slow down. The cloud data storage module is used to store the information of external vehicles collected by the vehicle information monitoring module. The network data transmission module is used to connect each module to transmit data. The monitoring and processing center is used to process the information of external vehicles collected by the vehicle information monitoring module to calculate the speed of the external vehicle. When the speed of the external vehicle exceeds the threshold value, the monitoring and processing center triggers the voice warning module to emit a warning signal, warning the external vehicle to slow down. Preferably, the method for the monitoring and processing center to calculate the speed of an external vehicle includes the following steps: S1. Real-time acquisition and processing of video data: Continuously capture road images at a frame rate of at least 30fps through an AI camera to capture the continuous trajectory of vehicle driving. S2. Vehicle detection and motion trajectory tracking: Use YOLO and Faster R-CNN deep learning models to detect vehicles in the image in real time and mark the bounding boxes. Based on the optical flow method or Kalman filtering algorithm, track the displacement change of the vehicle in consecutive frames and calculate the driving direction and trajectory stability. S3. Using the pixel displacement - actual distance mapping model, according to the calibration parameters of the AI camera, convert the pixel displacement into the actual driving distance. In consecutive video frames, the vehicle generates a vertical displacement ΔV in pixel coordinates, and the corresponding actual longitudinal distance change is ΔD. The formula is: ; where H: The installation height of the AI camera, which can be directly measured; ΔV: Pixel displacement in the vertical direction; s: The physical size of a single pixel, which is determined by the sensor size and resolution; : Vertical focal length, in pixel units; : The pitch angle of the AI camera; S4. Through the longitudinal displacement ΔD of the vehicle and the frame interval time Δt in consecutive frames, the instantaneous vehicle speed v can be calculated, where .

[0007] Preferably, the cloud data storage module uses distributed storage technology to classify and save the information of external vehicles that overtake. The real-time video stream is retained for 7 days, and the structured data is saved for 1 year. The structured data includes: speeding records and license plate information.

[0008] Preferably, the network data transmission module includes: a 5G fiber optic network deployed on campus.

[0009] Preferably, the monitoring and processing center includes: a data processing module, an analysis and comparison module, a decision-making module, and a display; wherein, The data processing module is used to fuse the vehicle speed data of foreign vehicles collected by the radar device and the AI camera respectively through a data fusion algorithm, and calculate the vehicle speed of foreign vehicles; The analysis and comparison module is used to analyze and compare the vehicle speed of foreign vehicles calculated by the data processing module with a threshold value, and judge whether the foreign vehicle is speeding according to the result of the analysis and comparison; when the result of the analysis and comparison exceeds the threshold value, an instruction is sent to the decision-making module, and the decision-making module takes corresponding actions; The decision-making module is used to receive the instruction sent by the analysis and comparison module, trigger the voice warning module, and send out a warning signal to warn the foreign vehicle to slow down; The display is used to display the foreign vehicle information collected by the vehicle information monitoring module.

[0010] Preferably, the intelligent campus management method based on intelligent cloud and AI technology includes the following steps: S201. When a foreign vehicle enters the campus through the entrance, the security guard issues the vehicle passing positioning module to the driver of the foreign vehicle. When the foreign vehicle exits the campus, the security guard retrieves the vehicle passing positioning module. When the foreign vehicle is driving on the campus, the position of the foreign vehicle entering the campus is tracked in real time; S202. Deploy the vehicle information monitoring module at each main road, bend, and garage entrance and exit in the campus to collect the vehicle speed, license plate, and position information of foreign vehicles to monitor foreign vehicles in real time; S203. Install the monitoring and processing center in the security guard room. When the vehicle information monitoring module monitors that a foreign vehicle is speeding, the monitoring and processing center triggers the voice warning module to issue a voice warning to warn the speeding vehicle to slow down. At the same time, the information of the foreign vehicle monitored for speeding is sent to the cloud data storage module for storage; S204. Connect the cloud data storage module to the traffic management platform through the network transmission layer interface to transmit the data of foreign vehicles to the traffic management platform to achieve real-time data push.

[0011] Preferably, the voice warning module includes: a buzzer and a radio station set in the security guard room, and speakers deployed at each main road, bend, and garage entrance and exit in the campus; wherein, When the vehicle information monitoring module monitors that an external vehicle is speeding, the monitoring and processing center triggers the buzzer to emit a sound to prompt the security personnel that a vehicle is speeding. The security personnel broadcast the information of the speeding external vehicle through the radio station to warn the speeding external vehicle to slow down through the loudspeaker.

[0012] Preferably, the network transmission layer interface includes: a VPN channel or a TCP / IP data transmission protocol.

[0013] Preferably, the passage positioning module includes: a GPS locator provided on the access card.

[0014] According to the above technical solution, the beneficial effects of the intelligent campus management system provided by the present invention based on intelligent cloud and AI technologies during use are as follows: The present invention can accurately and quickly monitor the vehicle speed of external vehicles online. Once it is detected that an external vehicle is speeding on the campus, it can respond in a timely manner, so as to be able to well manage the driving safety of campus vehicles in an intelligent manner, which is convenient for management and improves the management efficiency.

[0015] Other features and advantages of the present invention will be described in detail in the subsequent specific implementation part; and the parts not involved in the present invention are the same as or can adopt the prior art. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The drawings are used to provide a further understanding of the present invention, and constitute a part of the specification. Together with the following specific implementation, they are used to explain the present invention, but do not constitute a limitation to the present invention. In the drawings: Figure 1 is the working principle diagram of the intelligent campus management system provided in a preferred embodiment of the present invention based on intelligent cloud and AI technologies; Figure 2 is the flow block diagram of the intelligent campus management method provided in a preferred embodiment of the present invention based on intelligent cloud and AI technologies.

[0017] DESCRIPTION OF THE REFERENCE NUMERALS 1. Vehicle passage positioning module; 2. Vehicle information monitoring module; 21. Radar device; 22. AI camera; 3. Voice warning module; 4. Cloud data storage module; 5. Network data transmission module; 6. Monitoring and processing center; 61. Data processing module; 62. Analysis and comparison module; 63. Decision module; 64. Display. DETAILED DESCRIPTION OF THE INVENTION

[0018] The following will describe in detail the specific implementation of the present invention with reference to the drawings. It should be understood that the specific implementation described herein is only used to illustrate and explain the present invention, and is not used to limit the present invention.

[0019] As shown Figure 1-2 in the figure, a smart campus management system based on smart cloud and AI technology provided by the present invention includes: a vehicle passing and positioning module 1, a vehicle information monitoring module 2, a voice warning module 3, a cloud data storage module 4, a network data transmission module 5, and a monitoring and processing center 6; among them, the vehicle passing and positioning module 1 is used to track the position of external vehicles on campus in real time; the vehicle information monitoring module 2 includes: a radar device 21 and an AI camera 22, which are used to collect the vehicle speed, license plate, and position information of external vehicles to monitor external vehicles in real time; the voice warning module 3 is used to send a warning signal when the vehicle speed of an external vehicle exceeds the threshold, warning the external vehicle to slow down; the cloud data storage module 4 is used to store the information of external vehicles collected by the vehicle information monitoring module 2; the network data transmission module 5 is used to connect each module to transmit data; the monitoring and processing center 6 is used to process the information of external vehicles collected by the vehicle information monitoring module 2 to calculate the vehicle speed of external vehicles; when the vehicle speed of an external vehicle exceeds the threshold, the monitoring and processing center 6 triggers the voice warning module 3 to send a warning signal to warn the external vehicle to slow down. In the above solution, the radar device 21 can be a millimeter-wave radar, with an accuracy of up to ±1 km / h, and it also supports multi-lane synchronous monitoring. The AI camera 22 can select a multi-spectral camera, which can photograph multiple-band images of the same area at the same moment.

[0020] During use, the combination of the radar device 21 and the AI camera 22 can accurately collect vehicle information and transmit the collected vehicle information to the monitoring and processing center 6. The monitoring and processing center calculates the vehicle speed of external vehicles, and compares the calculated vehicle speed of external vehicles with the threshold. When the vehicle speed exceeds the threshold, the monitoring and processing center 6 can trigger the voice warning module 3 to send a warning signal to warn the external vehicle to slow down and avoid campus traffic accidents.

[0021] When the external vehicle does not slow down and continues to speed, the security personnel can monitor the position of the external vehicle through the vehicle passing and positioning module 1 and the vehicle information monitoring module 2, so that the security personnel can track the external vehicle and move forward in time to stop the external vehicle and force it to slow down.

[0022] In summary, the system can accurately and quickly monitor the vehicle speed of external vehicles online. Once it detects that an external vehicle is speeding on campus, it can respond in a timely manner, thus enabling good intelligent management of campus vehicle driving safety and improving management efficiency.

[0023] In a preferred embodiment of the present invention, the method for the monitoring and processing center 6 to calculate the vehicle speed of external vehicles includes the following steps: S1. Real-time acquisition and processing of video data: Continuously capture road images through the AI camera 22 at a frame rate of at least 30fps to capture the continuous trajectory of vehicle driving; S2. Vehicle detection and motion trajectory tracking: Adopt YOLO and Faster R-CNN deep learning models to detect vehicles in the image in real time and mark the bounding boxes. Based on the optical flow method or Kalman filtering algorithm, track the displacement change of the vehicle in consecutive frames and calculate the driving direction and trajectory stability; S3. Utilize the pixel displacement - actual distance mapping model. According to the calibration parameters of the AI camera 22, convert the pixel displacement into the actual driving distance. In consecutive video frames, the vehicle generates a vertical displacement ΔV in pixel coordinates, and the corresponding actual longitudinal distance change is ΔD. The formula is: ; where H: The installation height of the AI camera 22, which can be directly measured; ΔV: Pixel displacement in the vertical direction; s: The physical size of a single pixel, which is determined by the sensor size and resolution; : Vertical focal length, in pixel units; : The pitch angle of the AI camera; S4. Through the longitudinal displacement ΔD of the vehicle in consecutive frames and the frame interval time Δt, the instantaneous vehicle speed v can be calculated, where .

[0024] In the above solution, by continuously capturing an image sequence of the vehicle position and using the AI algorithm to analyze the displacement change and time difference of the target in the image to calculate the speed, it is possible to monitor the driving speed of external vehicles through the AI camera 21. Since the AI camera 22 can continuously capture the displacement change of the vehicle and accurately calculate the speed in combination with the time difference, the error rate is low; moreover, a single AI camera 22 can monitor vehicles in multiple lanes at the same time, improving the monitoring efficiency while reducing the monitoring cost.

[0025] In addition, through the AI camera 22, it is also possible to monitor the position of external vehicles on campus and can also track the driving position of external vehicles online, which can assist the vehicle passage positioning module 1 to accurately locate the position of external vehicles on campus for security personnel to supervise.

[0026] In a preferred embodiment of the present invention, the cloud data storage module 4 uses distributed storage technology to classify and save the information of foreign vehicles that overtake. The real-time video stream is retained for 7 days, and the structured data is saved for 1 year. The structured data includes: speeding records and license plate information.

[0027] In the above solution, the cloud data storage module 4 is used to store the information of foreign vehicles. When a foreign vehicle speeds, the stored information of foreign vehicles can be retrieved to meet the needs of evidence collection and auditing, so that the law enforcement department can retrieve the speeding record information of foreign vehicles.

[0028] In a preferred embodiment of the present invention, the network data transmission module 5 includes: a 5G fiber optic network deployed on campus.

[0029] In a preferred embodiment of the present invention, the monitoring and processing center 6 includes: a data processing module 61, an analysis and comparison module 62, a decision-making module 63, and a display 64; wherein, The data processing module 61 is used to fuse the vehicle speed data of foreign vehicles collected by the radar device 21 and the AI camera 22 respectively through a data fusion algorithm, and calculate the vehicle speed of foreign vehicles; The analysis and comparison module 62 is used to analyze and compare the vehicle speed of foreign vehicles calculated by the data processing module 61 with a threshold value, and judge whether the foreign vehicle is speeding according to the result of the analysis and comparison; when the result of the analysis and comparison exceeds the threshold value, an instruction is sent to the decision-making module 63, and the decision-making module 63 makes corresponding actions; The decision-making module 63 is used to receive the instruction sent by the analysis and comparison module 62, and trigger the voice warning module 3 to send a warning signal to warn the foreign vehicle to slow down; The display 64 is used to display the information of foreign vehicles collected by the vehicle information monitoring module 2.

[0030] In the above solution, through the cooperation between the data processing module 61, the analysis and comparison module 62, and the decision-making module 6, once a foreign vehicle speeds on campus, it can be monitored in a timely manner, and the response is timely, so that the intelligent management of campus vehicle driving safety can be well achieved, and the management efficiency is improved.

[0031] In a preferred embodiment of the present invention, a smart campus management method based on smart cloud and AI technology is provided, including the following steps: S201. When an external vehicle enters the campus through the entrance, the security guard issues the vehicle access positioning module 1 to the driver of the external vehicle. When the external vehicle exits the campus, the security guard retrieves the vehicle access positioning module 1. When the external vehicle is driving on the campus, the position of the external vehicle entering the campus can be tracked in real time; S202. Deploy the vehicle information monitoring module 2 at each main road, bend and garage entrance and exit in the campus to collect the vehicle speed, license plate and position information of external vehicles for real-time monitoring of external vehicles; S203. Install the monitoring and processing center 6 in the security room. When the vehicle information monitoring module 2 monitors that an external vehicle is speeding, the monitoring and processing center 6 triggers the voice warning module 3 to issue a voice warning to warn the speeding vehicle to slow down. At the same time, the information of the external vehicle monitored for speeding is sent to the cloud data storage module 4 for storage; S204. Connect the cloud data storage module 4 to the traffic management platform through the network transport layer interface, and transmit the data of external vehicles to the traffic management platform to achieve real-time data push.

[0032] In a preferred embodiment of the present invention, the access positioning module 1 includes: an access card and a GPS locator arranged on the access card.

[0033] In the above solution, when an external vehicle needs to enter the campus, it needs to obtain a vehicle access card from the security guard to enter and exit the campus. Since a GPS locator is installed on the access card, when the external vehicle enters the campus, its position within the campus can be tracked in real time so as to be able to master the position of the external vehicle at any time. During the driving process of the external vehicle on the campus, it is monitored in real time by the vehicle information monitoring module 2, the vehicle speed of the external vehicle is detected online, and at the same time, its position can also be monitored. When the vehicle speed of the external vehicle exceeds the threshold, the monitoring and processing center 6 triggers the voice warning module 3 to issue a voice warning to warn the speeding vehicle to slow down. At the same time, the information of the external vehicle monitored for speeding is sent to the cloud data storage module 4 for storage. At the same time, the information of the speeding external vehicle is pushed to the public security traffic platform through the network transport layer interface for the traffic police to handle.

[0034] In a preferred embodiment of the present invention, the voice warning module 3 includes: a buzzer and a radio station arranged in the security room, and speakers deployed at each main road, bend and garage entrance and exit in the campus; among them, When the vehicle information monitoring module 2 monitors that an external vehicle is speeding, the monitoring and processing center 6 triggers the buzzer to emit a sound to prompt the security personnel that a vehicle is speeding. The security personnel report the information of the speeding external vehicle through the radio station to warn the speeding external vehicle to slow down via the loudspeaker.

[0035] In the above solution, when an external vehicle is speeding, the monitoring and control processing center 6 will trigger the buzzer to make a sound to remind the security personnel that a vehicle is speeding. The security personnel can know the information of the speeding external vehicle through the display 64 of the monitoring and processing center 6. The security personnel broadcast the speeding behavior of the external vehicle through the radio station to warn the external vehicle to slow down.

[0036] In a preferred embodiment of the present invention, the network transmission layer interface includes: a VPN channel or a TCP / IP data transmission protocol.

[0037] In the above solution, by adopting a VPN channel or a TCP / IP data transmission protocol, real-time push of speeding data can be achieved, and the information of the speeding external vehicle can be pushed to the traffic management platform in real time.

[0038] In summary, the intelligent campus management system based on the intelligent cloud and AI technology provided by the present invention overcomes the safety hazards brought about by the existing campus security measures that usually require security personnel to regularly patrol the roads on campus to check whether external vehicles are speeding on campus. This method not only brings a large workload to the security personnel, but also cannot timely discover and warn speeding vehicles, thus cannot effectively manage the problem.

[0039] The preferred embodiments of the present invention have been described in detail above in conjunction with the accompanying drawings. However, the present invention is not limited to the specific details in the above embodiments. Within the scope of the technical concept of the present invention, various simple modifications can be made to the technical solutions of the present invention, and these simple modifications all fall within the protection scope of the present invention.

[0040] In addition, it should be noted that, in the above specific embodiments, the various specific technical features described can be combined in any suitable manner without contradiction. To avoid unnecessary repetition, the present invention will not separately describe various possible combination methods.

[0041] Furthermore, any combination can be made between different embodiments of the present invention as long as it does not violate the idea of the present invention, and it should also be regarded as the content disclosed by the present invention.

Claims

1. A smart campus management system based on smart cloud and AI technology, characterized in that, The system includes: a vehicle passing positioning module (1), a vehicle information monitoring module (2), a voice warning module (3), a cloud data storage module (4), a network data transmission module (5), and a monitoring and processing center (6); among them, The vehicle passing positioning module (1) is used to track the position of foreign vehicles on campus in real time; The vehicle information monitoring module (2) includes: a radar device (21) and an AI camera (22), which are used to collect the vehicle speed, license plate, and position information of foreign vehicles to monitor foreign vehicles in real time; The voice warning module (3) is used to send a warning signal when the vehicle speed of a foreign vehicle exceeds the threshold, warning the foreign vehicle to slow down; The cloud data storage module (4) is used to store the foreign vehicle information collected by the vehicle information monitoring module (2); The network data transmission module (5) is used to connect each module to transmit data; The monitoring and processing center (6) is used to process the foreign vehicle information collected by the vehicle information monitoring module (2) to calculate the vehicle speed of the foreign vehicle; when the vehicle speed of the foreign vehicle exceeds the threshold, the monitoring and processing center (6) triggers the voice warning module (3) to send a warning signal to warn the foreign vehicle to slow down.

2. The intelligent campus management system based on the intelligent cloud and AI technology according to claim 1, characterized in that, The method for the monitoring and processing center (6) to calculate the vehicle speed of a foreign vehicle includes the following steps: S1. Real-time video data collection and processing: Continuously capture road images through the AI camera (22) at a frame rate of at least 30fps to capture the continuous trajectory of vehicle driving; S2. Vehicle detection and motion trajectory tracking: Use YOLO and Faster R-CNN deep learning models to detect vehicles in the image in real time and mark the bounding boxes. Based on the optical flow method or Kalman filter algorithm, track the displacement change of the vehicle in consecutive frames and calculate the driving direction and trajectory stability; S3. Using the pixel displacement - actual distance mapping model, according to the calibration parameters of the AI camera (22), convert the pixel displacement into the actual driving distance. In consecutive video frames, the vehicle generates a vertical displacement ΔV in pixel coordinates, and the corresponding actual longitudinal distance change is ΔD. The formula is: ; wherein, H: The installation height of the AI camera (22), which can be directly measured; ΔV: The pixel displacement in the vertical direction; s: The physical size of a single pixel, which is determined by the sensor size and resolution; : The vertical focal length, in pixel units; : The pitch angle of the AI camera; S4. Through the longitudinal displacement ΔD of the vehicle in consecutive frames and the frame interval time Δt, the instantaneous vehicle speed v can be calculated, where 。 3. The intelligent campus management system based on intelligent cloud and AI technology according to claim 1, characterized in that The cloud data storage module (4) uses distributed storage technology to classify and save the information of foreign vehicles that overtake. The real-time video stream is retained for 7 days, and the structured data is saved for 1 year. The structured data includes: speeding records and license plate information.

4. The intelligent campus management system based on intelligent cloud and AI technology according to claim 1, characterized in that The network data transmission module (5) includes: a 5G fiber optic network deployed on campus.

5. The intelligent campus management system based on the intelligent cloud and AI technology according to claim 1, wherein The monitoring and processing center (6) includes: a data processing module (61), an analysis and comparison module (62), a decision-making module (63), and a display (64); among them, The data processing module (61) is used to fuse the vehicle speed data of foreign vehicles collected by the radar device (21) and the AI camera (22) respectively through a data fusion algorithm, and calculate the vehicle speed of the foreign vehicle; The analysis and comparison module (62) is configured to analyze and compare the vehicle speed of the foreign vehicle calculated by the data processing module (61) with a threshold value, and determine whether the foreign vehicle is speeding according to the result of the analysis and comparison. When the result of the analysis and comparison exceeds the threshold value, an instruction is sent to the decision-making module (63), and the decision-making module (63) takes corresponding actions. The decision-making module (63) is configured to receive the instruction sent by the analysis and comparison module (62), trigger the voice warning module (3), and issue a warning signal to warn the foreign vehicle to slow down. The display (64) is configured to display the foreign vehicle information collected by the vehicle information monitoring module (2).

6. The intelligent campus management method based on intelligent cloud and AI technology according to any one of claims 1-5, characterized in that, It includes the following steps: S201. When a foreign vehicle enters the campus through the entrance, the security guard issues the vehicle access positioning module (1) to the driver of the foreign vehicle. When the foreign vehicle exits the campus, the security guard retrieves the vehicle access positioning module (1). When the foreign vehicle is driving on the campus, the position of the foreign vehicle entering the campus is tracked in real time. S202. The vehicle information monitoring module (2) is respectively deployed at each main road, bend and garage entrance and exit in the campus to collect the vehicle speed, license plate and position information of foreign vehicles to monitor foreign vehicles in real time. S203. The monitoring and processing center (6) is installed in the security room. When the vehicle information monitoring module (2) monitors that a foreign vehicle is speeding, the monitoring and processing center (6) triggers the voice warning module (3) to issue a voice warning to warn the speeding vehicle to slow down. At the same time, the information of the foreign vehicle monitored for speeding is sent to the cloud data storage module (4) for storage. S204. The cloud data storage module (4) is connected to the traffic management platform through the network transport layer interface to transmit the data of foreign vehicles to the traffic management platform to achieve real-time data push.

7. The intelligent campus management method based on intelligent cloud and AI technology according to claim 6, wherein, The voice warning module (3) includes: a buzzer and a radio station set in the security room, and speakers deployed at each main road, bend and garage entrance and exit in the campus. Among them, When the vehicle information monitoring module (2) monitors that a foreign vehicle is speeding, the monitoring and processing center (6) triggers the buzzer to make a sound to prompt the security personnel that a vehicle is speeding. The security personnel broadcast the information of the speeding foreign vehicle through the radio station to warn the speeding foreign vehicle to slow down through the speakers.

8. The intelligent campus management method based on intelligent cloud and AI technology according to claim 6, characterized in that, The network transport layer interface includes: a VPN channel or a TCP / IP data transmission protocol.

9. The intelligent campus management method based on intelligent cloud and AI technology according to claim 6, characterized in that, The access positioning module (1) includes: a GPS locator set on the access card.

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