Safety protection management system

Abstract

The invention discloses a security and protection management system, and relates to the technical field of intelligent security and protection, a cloud edge collaboration module is composed of an edge computing node and a cloud computing center, and is responsible for real-time data processing and global data integration. The Internet of Things equipment integration module comprises a plurality of data acquisition terminals, such as a high-definition intelligent camera, a multi-dimensional sensor network, an intelligent door lock, an intelligent access control and the like. The devices can sense the environment state in real time, construct a multi-dimensional sensor network and transmit data to the intelligent analysis module for intelligent analysis, so that abnormal behaviors are identified and potential risks are predicted. And the early warning and response module is internally provided with a multi-stage early warning system and an automatic emergency response strategy, can automatically send early warning information to the monitoring center when potential safety hazards are detected, and starts a preset emergency response process. And finally, the user interaction and remote control module can support multi-platform access, an intuitive operation interface and a cooperative working platform, and remote monitoring and management are realized.

Description

Technical Field

[0001] The present invention relates to the field of intelligent security technology, and more particularly to a security prevention management system. Background Art

[0002] With the continuous development and changes of society, security prevention has become an important issue of social concern, and people's needs for security are constantly changing. New threats continue to emerge, such as terrorist attacks, cyber attacks, etc., so we need to design a security management system that can adapt to various new threats. In addition, users' demands for intelligent and convenient security management are also increasing, which also needs to be taken into consideration in our design.

[0003] Although there are many security management systems, they still have some limitations. For example, these systems usually require a lot of hardware and software support, and are very troublesome to install and maintain. In addition, they usually require professional technicians to operate and manage, which is inconvenient for most users.

[0004] Traditional security systems rely on manual monitoring and post-processing, which have problems such as delayed response and low efficiency. In order to improve the level of security, a security management system that can sense in real time, perform intelligent analysis, and respond quickly is needed.

[0005] Therefore, it is necessary to adopt advanced technologies and equipment to achieve functions such as real-time monitoring, automatic warning and intelligent processing to improve safety and reduce human intervention. In addition, the system needs to be easy to use and does not require professional technicians to install and maintain, thereby reducing user costs. Therefore, how to provide a safer, smarter and more convenient security management system is a technical problem that technicians in this field need to solve urgently. Summary of the invention

[0006] In view of this, the present invention provides a security prevention management system, which realizes all-round monitoring of the target area by integrating multiple advanced technologies, and timely discovers and warns of potential safety hazards through intelligent analysis, thereby improving the efficiency and accuracy of security prevention.

[0007] In order to achieve the above object, the present invention adopts the following technical solution:

[0008] A security prevention management system, comprising:

[0009] A cloud-edge collaboration module, which includes edge computing nodes and a cloud computing center, and the edge computing nodes and the cloud computing center are used for real-time data processing and global data integration;

[0010] An IoT device integration module, wherein the IoT device integration module comprises a plurality of data acquisition terminals, wherein the data acquisition terminals comprise a high-definition smart camera, a multi-dimensional sensor network, a smart door lock and a smart access control system, and the high-definition smart camera, the smart door lock and the smart access control system are used to sense the environmental status in real time, and the plurality of data acquisition terminals construct a multi-dimensional sensor network, and the multi-dimensional sensor network is used to transmit the data collected by the plurality of data acquisition terminals;

[0011] An intelligent analysis module, including a big data processing platform, an AI algorithm engine and an anomaly detection model, for intelligently analyzing the data collected by the high-definition smart camera, the smart door lock and the smart access control, identifying abnormal behaviors and predicting potential risks;

[0012] An early warning and response module, which has a built-in multi-level early warning system and an automated emergency response strategy, is used to automatically send early warning information to the monitoring center when potential safety hazards are detected, and trigger a preset emergency response process through an automated emergency response strategy;

[0013] User interaction and remote control module, which can support multi-platform access, intuitive operation interface and collaborative work platform to achieve remote monitoring and management.

[0014] Preferably, in the above-mentioned security management system, the data acquisition terminal also includes an infrared sensor, a smoke sensor, and a vibration sensor.

[0015] Preferably, in the above-mentioned security management system, the edge computing node in the cloud-edge collaboration module also includes a caching mechanism for temporarily storing important data before the data is transmitted to the cloud computing center to cope with network delays or interruptions.

[0016] Preferably, in the above-mentioned security management system, the high-definition smart camera adopts low-light imaging technology and adaptive coding technology, which can clearly image in low-light environment and automatically adjust coding parameters according to scene changes to optimize data transmission efficiency.

[0017] Preferably, in the above-mentioned security management system, the AI ​​algorithm engine integrates an emotion recognition algorithm, which can analyze the emotional state of people in the surveillance video, assist in judging their behavioral intentions, and improve the accuracy and timeliness of early warning.

[0018] Preferably, in the above-mentioned security prevention management system, a historical case library is also provided in the early warning and response module for storing and analyzing past security incident cases to provide decision support and handling suggestions for current security risks.

[0019] Preferably, in the above-mentioned security management system, the Internet of Things device integration module also includes an energy management controller for monitoring and optimizing the energy consumption of the data acquisition terminal.

[0020] Preferably, in the above-mentioned security prevention management system, the user interaction and remote control module supports docking with the existing smart city management platform, realizes data sharing and joint command through an open API interface, and builds an all-round and three-dimensional security prevention system.

[0021] Preferably, in the above-mentioned security management system, the smart door lock and the smart access control integrate biometric technology to achieve identity authentication and authority management, and enhance physical protection capabilities.

[0022] Preferably, in the above-mentioned security management system, the user interaction and remote control module supports access from multiple platforms including PC and mobile terminals.

[0023] It can be seen from the above technical solution that compared with the prior art, the present invention discloses a security prevention management system that adopts a combination of cloud computing and edge computing. The edge computing nodes are responsible for real-time data processing and preliminary analysis, reducing the burden on the cloud computing center; the cloud computing center is responsible for global data integration, in-depth analysis and decision support. The system realizes efficient data processing and flexible system expansion, and can cope with large-scale, complex and changeable monitoring needs.

[0024] Secondly, the integrated high-definition smart cameras and multi-dimensional sensor networks, combined with advanced AI algorithms, have significantly improved the recognition accuracy and warning speed of potential safety hazards, effectively reduced the false alarm rate and missed alarm rate, and provided strong technical support for security prevention work.

[0025] In addition, the system's early warning and response module has a built-in multi-level early warning system and automated emergency response strategy, ensuring that measures can be taken quickly and accurately in emergency situations to reduce losses. At the same time, the user-friendly interface and multi-platform support improve the user's operational convenience and experience, making security prevention work more efficient and intelligent.

[0026] At the same time, its openness and compatibility also provide the possibility for seamless connection with other security systems or smart city platforms, promote the joint command of security work, and lay a solid foundation for building a comprehensive and three-dimensional security network.

[0027] To sum up, this technical solution has shown significant beneficial effects in improving security prevention efficiency, reducing security risks, and optimizing user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] 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 embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0029] Attached photos Figure 1 A workflow diagram of a security prevention management system provided by the present invention. DETAILED DESCRIPTION

[0030] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0031] The embodiment of the present invention discloses a security prevention management system, including:

[0032] The cloud-edge collaboration module includes edge computing nodes and cloud computing centers, which are used for real-time data processing and global data integration.

[0033] The IoT device integration module includes multiple data acquisition terminals, which include high-definition smart cameras, multi-dimensional sensor networks, smart door locks and smart access control. The high-definition smart cameras, smart door locks and smart access control are used to sense the environmental status in real time. Multiple data acquisition terminals build a multi-dimensional sensor network, which is used to transmit data collected by multiple data acquisition terminals.

[0034] Intelligent analysis module, including big data processing platform, AI algorithm engine and anomaly detection model, is used to intelligently analyze the data collected by high-definition smart cameras, smart door locks and smart access control, identify abnormal behaviors and predict potential risks;

[0035] Early warning and response module: The early warning and response module has a built-in multi-level early warning system and automated emergency response strategy. It is used to automatically send early warning information to the monitoring center when potential safety hazards are detected, and trigger the preset emergency response process through the automated emergency response strategy;

[0036] User interaction and remote control module: The user interaction and remote control module can support multi-platform access, intuitive operation interface and collaborative work platform to realize remote monitoring and management.

[0037] In order to further optimize the above technical solution, the data acquisition terminal also includes an infrared sensor, a smoke sensor, and a vibration sensor.

[0038] In order to further optimize the above technical solution, the edge computing node in the cloud-edge collaboration module also includes a caching mechanism for temporarily storing important data before transmitting it to the cloud computing center to cope with network delays or interruptions.

[0039] In order to further optimize the above technical solutions, the high-definition smart camera adopts low-light imaging technology and adaptive coding technology, which can produce clear images in low-light environments, and automatically adjust the coding parameters according to scene changes to optimize data transmission efficiency.

[0040] In order to further optimize the above technical solutions, the AI ​​algorithm engine integrates an emotion recognition algorithm, which can analyze the emotional state of people in the surveillance video, assist in judging their behavioral intentions, and improve the accuracy and timeliness of early warnings.

[0041] In order to further optimize the above technical solutions, a historical case library is also set up in the early warning and response module to store and analyze past security incident cases and provide decision-making support and handling suggestions for current security risks.

[0042] In order to further optimize the above technical solution, the IoT device integration module also includes an energy management controller for monitoring and optimizing the energy consumption of the data acquisition terminal.

[0043] In order to further optimize the above technical solutions, the user interaction and remote control module supports docking with the existing smart city management platform, realizes data sharing and joint command through an open API interface, and builds an all-round and three-dimensional security prevention system.

[0044] In order to further optimize the above technical solutions, smart door locks and smart access control integrate biometric technology to achieve identity authentication and authority management, and enhance physical protection capabilities.

[0045] In order to further optimize the above technical solution, the user interaction and remote control module supports access from multiple platforms including PC and mobile terminals.

[0046] In conjunction with the instruction manual Figure 1 , the specific implementation is as follows:

[0047] Workflow Description

[0048] 1. System initialization and configuration

[0049] System deployment: Deploy high-definition smart cameras, multi-dimensional sensor networks, smart door locks and smart access control in the monitoring area, and ensure that they are properly connected to the intelligent analysis module through wireless or wired networks.

[0050] Parameter setting: Configure system parameters in the user interaction and remote control module, including camera position, monitoring area division, sensor sensitivity, warning threshold, etc.

[0051] User rights allocation: Assign system access rights and roles to different users in the user interaction and remote control modules to ensure data security and operational compliance.

[0052] 2. Data collection and transmission

[0053] Real-time monitoring: The data acquisition terminal starts to collect data of the monitored area in real time, including video images, environmental parameters such as temperature, humidity, smoke concentration, personnel activity information, etc.

[0054] Data transmission: The collected data is transmitted to the edge computing node through a multi-dimensional sensor network. After the edge computing node performs preliminary processing on the data, it is transmitted to the cloud computing center for in-depth processing and analysis.

[0055] 3. Data Processing and Analysis

[0056] Data storage: The cloud computing center uses the big data processing platform to store the received data to ensure the security and accessibility of the data.

[0057] Intelligent analysis: The AI ​​algorithm engine performs intelligent analysis on stored data, including face recognition, behavior analysis, emotion recognition, anomaly detection, etc., to identify potential safety hazards or abnormal behaviors.

[0058] 4. Early warning and response

[0059] Warning generation: When the AI ​​algorithm engine identifies potential safety hazards or abnormal behaviors, it generates warning information based on preset warning rules.

[0060] Multi-level warning: According to the severity of the safety hazard, the system divides the warning information into different levels (such as primary, intermediate, and advanced) and notifies relevant personnel through SMS, email, APP push, etc.

[0061] Emergency response: After the early warning information is triggered, the system automatically executes corresponding emergency measures according to the preset emergency response process (such as activating the alarm device, notifying security personnel, closing the dangerous area, etc.), while supporting manual intervention and decision support to ensure the timeliness and accuracy of the response.

[0062] 5. Remote monitoring and management

[0063] Multi-platform access: Users can access the system through multiple platforms such as PC and mobile terminals to achieve remote monitoring and management.

[0064] Intuitive operation: Users can view real-time monitoring images, receive warning information, adjust monitoring parameters, etc. through a simple and clear operation interface.

[0065] Collaborative work: supports multiple users to operate online simultaneously, provides functions such as task allocation, progress tracking, information exchange, etc., and improves team collaboration efficiency.

[0066] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0067] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A security management system, characterized in that: include: A cloud-edge collaboration module, which includes edge computing nodes and a cloud computing center, and the edge computing nodes and the cloud computing center are used for real-time data processing and global data integration; An IoT device integration module, wherein the IoT device integration module comprises a plurality of data acquisition terminals, wherein the data acquisition terminals comprise a high-definition smart camera, a multi-dimensional sensor network, a smart door lock and a smart access control system, and the high-definition smart camera, the smart door lock and the smart access control system are used to sense the environmental status in real time, and the plurality of data acquisition terminals construct a multi-dimensional sensor network, and the multi-dimensional sensor network is used to transmit the data collected by the plurality of data acquisition terminals; An intelligent analysis module, including a big data processing platform, an AI algorithm engine and an anomaly detection model, for intelligently analyzing the data collected by the high-definition smart camera, the smart door lock and the smart access control, identifying abnormal behaviors and predicting potential risks; An early warning and response module, which has a built-in multi-level early warning system and an automated emergency response strategy, is used to automatically send early warning information to the monitoring center when potential safety hazards are detected, and trigger a preset emergency response process through an automated emergency response strategy; User interaction and remote control module, which can support multi-platform access, intuitive operation interface and collaborative work platform to achieve remote monitoring and management.

2. A security management system according to claim 1, characterized in that: The data acquisition terminal also includes an infrared sensor, a smoke sensor, and a vibration sensor.

3. A security management system according to claim 1, characterized in that: The edge computing node in the cloud-edge collaboration module also includes a caching mechanism for temporarily storing important data before transmitting it to the cloud computing center to cope with network delays or interruptions.

4. A security management system according to claim 1, characterized in that: The high-definition smart camera adopts low-light imaging technology and adaptive coding technology, which can produce clear images in low-light environments, and automatically adjust coding parameters according to scene changes to optimize data transmission efficiency.

5. A security management system according to claim 1, characterized in that: The AI ​​algorithm engine integrates an emotion recognition algorithm, which can analyze the emotional state of people in the surveillance video, assist in judging their behavioral intentions, and improve the accuracy and timeliness of early warnings.

6. A security management system according to claim 1, characterized in that: The early warning and response module is also provided with a historical case library for storing and analyzing past safety incident cases, and providing decision support and handling suggestions for current safety hazards.

7. A security management system according to claim 2, characterized in that: The IoT device integration module also includes an energy management controller for monitoring and optimizing the energy consumption of the data acquisition terminal.

8. A security management system according to claim 3, characterized in that: The user interaction and remote control module supports docking with the existing smart city management platform, realizes data sharing and joint command through an open API interface, and builds an all-round and three-dimensional security prevention system.

9. A security management system according to claim 1, characterized in that: The smart door lock and smart access control integrate biometric technology to achieve identity authentication and authority management, and enhance physical protection capabilities.

10. A security management system according to claim 9, characterized in that: The user interaction and remote control module supports access from multiple platforms including PC and mobile terminals.

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