Campus safety monitoring system based on big data

Abstract

The utility model discloses a campus safety monitoring system based on big data. The campus safety monitoring system comprises an image information acquisition module, a cloud data server, a data storage module, a communication module, a display module, a data processing module, a lighting management module, an alarm module, an access control management module and an identity information acquisition module. The image information acquisition module, the data storage module, the communication module, the display module, the illumination management module, the alarm module and the access control management module are respectively connected with the data processing module; and the cloud data server is in communication connection with the communication module. By integrating a plurality of subsystems such as high-definition video monitoring, intelligent lighting, access control management and the like, omnibearing and intelligent management of campus safety is realized.

Description

Technical Field

[0001] This utility model relates to the field of campus security, specifically a campus security monitoring system based on big data. Background Technology

[0002] With the rapid development of educational informatization, campus security has become a crucial aspect of school management. Traditional campus security monitoring systems largely rely on manual patrols and basic video surveillance, resulting in problems such as large blind spots, slow response times, and data silos. Especially in large-scale campus environments, they struggle to achieve timely detection and effective handling of abnormal events. Furthermore, traditional systems lack intelligent data analysis and early warning mechanisms, failing to fully utilize massive amounts of monitoring data to uncover potential security risks.

[0003] In recent years, the rise of big data and Internet of Things technologies has provided new ideas for campus security management. However, existing campus security systems often focus only on upgrading single functions, such as increasing the number of cameras or introducing simple facial recognition functions, while neglecting the collaborative work between systems and the efficient use of data. Utility Model Content

[0004] The purpose of this utility model is to overcome the shortcomings of the existing technology and provide a campus security monitoring system based on big data, including an image information acquisition module, a cloud data server, a data storage module, a communication module, a display module, a data processing module, a lighting management module, an alarm module, an access control management module, and an identity information acquisition module.

[0005] The image information acquisition module, data storage module, communication module, display module, lighting management module, alarm module, and access control management module are all connected to the data processing module; the cloud data server is communicatively connected to the communication module.

[0006] Preferably, the image information acquisition module includes multiple camera modules and an image transmission module; the multiple camera modules are respectively connected to the image transmission module; and the image transmission module is connected to the data processing module.

[0007] Preferably, the lighting management module includes multiple street light management modules, each of which is connected to the data processing module; the street light management module includes a light intensity detection module, a light module, and a microprocessor; the light intensity detection module and the light module are respectively connected to the microprocessor, and the microprocessor is connected to the data processing module.

[0008] Preferably, the light intensity detection module includes a light intensity sensor and an analog-to-digital converter; the light intensity sensor is connected to the analog-to-digital converter, and the analog-to-digital converter is connected to the microprocessor.

[0009] Preferably, the lighting module includes an LED light module and a lighting control module; the LED light module is connected to the lighting control module; and the lighting control module is connected to the microprocessor.

[0010] Preferably, it also includes a mobile security patrol module, which includes an AGV module, an image acquisition module, a second microprocessor, a mobile communication module, and a speaker module;

[0011] The AGV module, image acquisition module, mobile communication module, and speaker module are respectively connected to the second microprocessor, and the mobile communication module is communicatively connected to the communication module.

[0012] Preferably, the alarm module includes an alarm light and a speaker; the alarm light and the speaker are respectively connected to the data processing module.

[0013] Preferably, the access control management module includes an identity information recognition device and an intelligent gate module; the identity information recognition device and the intelligent gate module are respectively connected to the data processing module.

[0014] Preferably, the identity information collection module includes a fingerprint recognition module and an NFC module; the fingerprint recognition module and the NFC module are respectively connected to the data processing module.

[0015] The beneficial effects of this utility model are: by integrating multiple subsystems such as high-definition video surveillance, intelligent lighting, and access control management, it realizes comprehensive and intelligent management of campus security.

[0016] The lighting management module automatically adjusts streetlight brightness based on ambient light, improving campus safety at night and effectively saving energy. Through a unified display module, administrators can monitor the security situation in various areas of the campus in real time, significantly improving management efficiency and decision-making accuracy.

[0017] The identity information collection module employs multiple recognition methods, offering convenience and speed while enhancing the experience for teachers and students entering and exiting the campus. Simultaneously, the mobile security patrol module strengthens campus security. Attached Figure Description

[0018] Figure 1 This is a schematic diagram illustrating the principle of a campus security monitoring system based on big data.

[0019] Figure 2This is a schematic diagram illustrating the principle of the image information acquisition module.

[0020] Figure 3 This is a schematic diagram of the lighting management module. Detailed Implementation

[0021] The technical solution of this utility model is described in further detail below with reference to the accompanying drawings, but the scope of protection of this utility model is not limited to the following description.

[0022] The features and performance of this utility model will be further described in detail below with reference to embodiments.

[0023] like Figure 1 As shown, the campus security monitoring system based on big data includes an image information acquisition module, a cloud data server, a data storage module, a communication module, a display module, a data processing module, a lighting management module, an alarm module, an access control management module, and an identity information acquisition module.

[0024] The image information acquisition module, data storage module, communication module, display module, lighting management module, alarm module, and access control management module are all connected to the data processing module; the cloud data server is communicatively connected to the communication module.

[0025] like Figure 2 As shown, the image information acquisition module includes multiple camera modules and an image transmission module; the multiple camera modules are respectively connected to the image transmission module; the image transmission module is connected to the data processing module.

[0026] like Figure 3 As shown, the lighting management module includes multiple street light management modules, which are respectively connected to the data processing module; the street light management module includes a light intensity detection module, a light module, and a microprocessor; the light intensity detection module and the light module are respectively connected to the microprocessor, and the microprocessor is connected to the data processing module.

[0027] The light intensity detection module includes a light intensity sensor and an analog-to-digital converter; the light intensity sensor is connected to the analog-to-digital converter, and the analog-to-digital converter is connected to the microprocessor.

[0028] The lighting module includes an LED light module and a lighting control module; the LED light module is connected to the lighting control module; and the lighting control module is connected to the microprocessor.

[0029] It also includes a mobile security patrol module, which comprises an AGV module, an image acquisition module, a second microprocessor, a mobile communication module, and a speaker module;

[0030] The AGV module, image acquisition module, mobile communication module, and speaker module are respectively connected to the second microprocessor, and the mobile communication module is communicatively connected to the communication module.

[0031] The alarm module includes an alarm light and a speaker; the alarm light and speaker are respectively connected to the data processing module.

[0032] The access control management module includes an identity information recognition device and an intelligent gate module; the identity information recognition device and the intelligent gate module are respectively connected to the data processing module.

[0033] The identity information collection module includes a fingerprint recognition module and an NFC module; the fingerprint recognition module and the NFC module are respectively connected to the data processing module.

[0034] Specifically, the image information acquisition module of the big data-based campus security monitoring system includes a camera module: a Hikvision DS-2CD3T46WD-I5 high-definition network camera with 4K resolution, supporting night vision and intelligent motion tracking to ensure clear monitoring around the clock. The image transmission module uses the Hikvision iVMS-4200 client to efficiently and stably transmit the video data captured by the camera module to the data processing module.

[0035] Cloud data server: It adopts Alibaba Cloud ECS (Elastic Compute Service) server, which provides massive storage space and enables real-time data backup and remote access.

[0036] Data storage module: Integrates Huawei OceanStor Dorado series all-flash storage, providing high-speed read and write performance to ensure efficient storage and fast retrieval of monitoring data.

[0037] Communication module: It adopts Huawei 5G CPE Pro (model: H112-372) to provide high-speed, low-latency wireless network connection and ensure real-time data transmission between modules.

[0038] Display module: Uses Samsung UH55F-E 55-inch ultra-high-definition commercial display, which supports multi-screen split display, making it convenient for monitoring center personnel to monitor multiple areas at the same time.

[0039] Lighting Management Module: Street Light Management Module: Each street light is equipped with a Philips Hue smart bulb and a matching bridge, which communicates with the microprocessor via the Zigbee protocol.

[0040] Light intensity detection module: It adopts TMD2635 light sensor and ADS1115 ADC (analog-to-digital converter) to accurately measure ambient light intensity.

[0041] Lighting module: The LED lighting module uses the Cree XR-E series, and the lighting control module uses a PWM controller to adjust the brightness.

[0042] Microprocessor: The ESP32 microcontroller is used to collect light data and control the lighting module to achieve dimming.

[0043] Alarm module: Alarm light: Red LED warning light. Speaker: Wireless speaker.

[0044] Access Control Module: Identity Recognition Device: Employs a ZKTeco F7 fingerprint + facial recognition all-in-one machine for fast and accurate identity verification. Smart Gate Module: Faac 770N electric gate, combined with the access control system, enables automated door opening and closing.

[0045] Identity information collection module: Fingerprint recognition module: Integrated into the ZKTeco F7 device, providing high-precision fingerprint recognition. NFC module: NXP Mifare DESFire EV2 NFC reader, supporting contactless fast authentication.

[0046] Mobile security patrol module: AGV module: adopts Future Robot V300 autonomous navigation vehicle.

[0047] Image acquisition module: Integrates a Raspberry Pi 4B and a matching camera for mobile monitoring. Second microprocessor: The Raspberry Pi 4B itself serves as the control core, processing image data and AGV control logic.

[0048] Mobile communication module: Huawei ME909s-821LTE module, ensuring stable communication with the communication module. Speaker module: Built-in small speaker for on-site voice prompts or alarms.

Claims

1. A campus security monitoring system based on big data, characterized in that, Image information acquisition module, cloud data server, data storage module, communication module, display module, data processing module, lighting management module, alarm module, access control management module, identity information acquisition module are included. The image information acquisition module, data storage module, communication module, display module, lighting management module, alarm module, access control management module are connected with the data processing module respectively.

2. The big data based campus security monitoring system as claimed in claim 1, wherein, The image information acquisition module includes multiple camera modules and image transmission modules.

3. The big data based campus security monitoring system as claimed in claim 1, wherein, The lighting management module includes multiple street light management modules, which are connected with the data processing module respectively.

4. The big data based campus security monitoring system as claimed in claim 3, wherein, The lighting management module includes light intensity detection module, light module and microprocessor. The light intensity detection module includes light intensity sensor and analog-to-digital converter.

5. The big data based campus security monitoring system as claimed in claim 3, wherein, The light intensity sensor is connected with the analog-to-digital converter, and the analog-to-digital converter is connected with the microprocessor.

6. The big data based campus security monitoring system as claimed in claim 1, wherein, The light module includes LED lamp module and light control module. It also includes a mobile security patrol module, which includes AGV module, image acquisition module, second microprocessor, mobile communication module and speaker module.

7. The big data based campus security monitoring system as claimed in claim 1, wherein, The AGV module, image acquisition module, mobile communication module and speaker module are connected with the second microprocessor respectively, and the mobile communication module is connected with the communication module.

8. The big data based campus security monitoring system as claimed in claim 1, wherein, The alarm module includes alarm lamp and speaker.

9. The big data based campus security monitoring system as claimed in claim 1, wherein, The access control management module includes identity information recognition device and intelligent gate module. The identity information acquisition module includes fingerprint recognition module and NFC module.

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