Linkage report management system based on AI identification

Abstract

The invention provides a linkage report management system based on AI identification, which comprises a comprehensive management platform and a linkage processing unit, the comprehensive management platform is internally provided with a user management module, an equipment management module and a report linkage module, the user management module manages an accessed user account, and the equipment management module manages the equipment account. Equipment association is carried out under each user account, and the user information and the position information are stored correspondingly; the equipment management module is used for carrying out data management on the associated equipment and importing data uploaded by the equipment into the reporting linkage module while storing the data; the reporting linkage module is used for receiving the data uploaded by the equipment, and an abnormal behavior database is arranged in the reporting linkage module; and after data uploaded by the equipment are received, the received data are matched with a pre-stored feature judgment model in the abnormal behavior database in real time, and video image data in the uploaded data are matched with standard features in the feature judgment model in real-time matching.

Description

Technical Field

[0001] The present invention belongs to the field of linkage reporting management, and in particular relates to a linkage reporting management system based on AI recognition. Background Art

[0002] Traditional networked reporting is mainly based on the installation and coverage of cameras. Although there are corresponding sensors, there is no data communication between devices, and the cost of manual maintenance is high. With the rapid development of science and technology, artificial intelligence (AI) technology is increasingly used in various fields, especially in security management and monitoring systems. Traditional reporting management systems usually rely on manual monitoring and manual operation, which is not only inefficient, but also prone to human errors, leading to increased safety hazards. Therefore, the linkage reporting management system based on AI recognition came into being and became an important means to improve the efficiency of security management. By integrating advanced artificial intelligence algorithms, the system can realize intelligent recognition and rapid response to various types of reporting information, thereby improving the overall security protection capabilities. The introduction of AI technology enables the system to have multiple functions such as image recognition, sound recognition and data analysis. Through cameras, sensors and other equipment, the system can monitor environmental changes in real time and use image recognition technology to automatically analyze abnormal situations.

[0003] For example, once a suspected violator is detected in the monitoring area, the system will automatically sound an alarm and transmit the relevant video data to the security monitoring center in real time, greatly shortening the response time. In addition, the application of sound recognition technology also provides new ideas for reporting management. When a specific sound event (such as breaking sound, cry for help, etc.) occurs, the system can quickly identify and report it, so as to take timely measures to protect the safety of personnel and property. The intelligent characteristics of the linkage reporting management system are also reflected in its data analysis capabilities. The system can conduct in-depth learning and analysis of historical reporting data, identify potential safety hazards and patterns, and provide managers with scientific decision-making basis. For example, by analyzing multiple reported events in a certain area, the system can identify high-risk time periods and high-incidence areas, and then provide guidance for security patrols and resource allocation. In addition, the AI-based system can also be linked with other security equipment, such as access control systems, fire protection systems, etc., to achieve multi-faceted security protection.

[0004] When the monitoring system detects an intruder, it can automatically lock the relevant access control to prevent further entry, and at the same time start the fire reporting system to ensure a quick response in the event of a fire. Finally, the linkage reporting management system based on AI recognition also has the ability to self-learn and optimize. As the system continues to run and data accumulates, the AI ​​algorithm can continuously optimize its own recognition accuracy and response strategy, making the system more and more intelligent in practical applications. For example, when the system handles different types of reporting events, it can adjust the response priority based on past experience, thereby achieving more efficient management. The linkage reporting management system based on AI recognition not only improves the efficiency and accuracy of security management, but also realizes early warning and prevention of potential risks through intelligent means, providing a strong guarantee for social security and stability. With the continuous advancement of technology, the application prospects of the system will be broader, and it is expected to play an important role in more fields in the future. Summary of the invention

[0005] The present invention proposes a linkage reporting management system based on AI recognition, which solves the problems in the prior art that daily abnormal behaviors in the area cannot be quickly identified and reported, and that multiple devices cannot be remotely operated at the same time to perform security control on site and notify relevant personnel in a timely manner.

[0006] The technical solution of the present invention is implemented as follows: a linkage reporting management system based on AI recognition, including an integrated management platform and a linkage processing unit, wherein the integrated management platform is equipped with a user management module, a device management module and a reporting linkage module, wherein the user management module manages the connected user accounts, associates devices under each user account, and stores the user information and location information in a corresponding manner; the device management module manages the data of the associated devices, stores the data uploaded by the devices and imports them into the reporting linkage module at the same time; the reporting linkage module receives the data uploaded by the devices, and has an abnormal behavior database built in the reporting linkage module, and after receiving the data uploaded by the devices, compares the received data with the abnormal behavior database; The normal behavior is to perform real-time matching with the feature judgment model pre-stored in the database. In the real-time matching, the video image data in the uploaded data is matched with the standard features in the feature judgment model. After the matching is completed, the matching result is fed back to the linkage processing unit; the linkage processing unit is equipped with an audio and video emergency reporting host, and a wireless network card and a 4G card are integrated on the audio and video emergency reporting host. The main reporting center is alerted through the audio and video emergency reporting host, and the location information of the device sending the alarm data is synchronized to the main reporting center through the audio and video emergency reporting host. The main reporting center sends alarm information to the reporting sub-center that is close to the uploaded location information, and the alarm information is synchronously sent to the user mobile terminal of the reporting sub-center.

[0007] The system's comprehensive management platform organically combines the user management module, device management module and reporting linkage module to form an integrated management platform. This design allows users to manage their devices more conveniently and manage and respond to reporting information on a unified platform. In contrast, traditional reporting systems often disperse user management, device management and reporting processing in multiple systems, resulting in data silos. Users need to switch between different systems, reducing management efficiency and user experience.

[0008] The system introduces a data management function in the device management module, which can store the data uploaded by the device in real time and import it into the reporting linkage module. This function allows the system to directly call historical data for analysis and judgment when processing reports, while traditional systems usually only perform simple processing on reported information, lack deep integration and analysis of device data, and cannot provide comprehensive support for decision-making.

[0009] The abnormal behavior database and feature judgment model built into the reporting linkage module enable the system to have real-time matching and intelligent identification capabilities. When the device uploads data, the system can quickly identify potential security threats by matching it with the standard features in the abnormal behavior database in real time. This intelligent processing method greatly improves the accuracy and timeliness of reporting, avoiding the problems of false positives and false negatives in traditional systems. Traditional reporting systems often rely on static rules and manual judgment, and are difficult to adapt to complex security environments.

[0010] The audio and video emergency reporting host in the linkage processing unit integrates a wireless network card and a 4G card, and these technologies enable real-time alarms to the main reporting center. This design enables the system to maintain stable communication capabilities in different network environments, while traditional systems usually only rely on fixed network connections and lack flexibility and reliability. When an emergency occurs, the system can quickly send the reporting information and device location information to the main reporting center, and send the alarm information to the reporting sub-center that is close to the uploaded location information through the main reporting center. This fast information transmission mechanism ensures that relevant personnel can obtain information in a timely manner and improves the response speed.

[0011] The system also has the ability to synchronously send alarm information to the mobile terminal of the user at the receiving center, so that users can obtain reported information anytime and anywhere. This function is often lacking in traditional systems. Users can only rely on fixed terminals to obtain information, and it is difficult to achieve mobile management. This mobile design improves user participation and safety awareness, allowing users to take necessary safety measures at the first time.

[0012] As a preferred implementation, the audio and video emergency reporting host is also preset with a warning synchronization notification number. While sending an alarm to the main reporting center, the alarm information is synchronized to the preset number through VoLTE high-definition calls.

[0013] As a preferred implementation, the reporting linkage module monitors the target area through a camera and a sensor. The camera has a built-in behavior record database, which records and stores the features in the feature determination model. An AI recognition algorithm is set in the behavior record database. The collected video images are recorded by the camera, and the video images are preliminarily compared with the feature determination model through the AI ​​recognition algorithm. If the comparison approximation exceeds the set threshold, the data is directly sent to the reporting linkage module.

[0014] As a preferred embodiment, the sensors include door and window sensors, motion detectors, smoke and gas detectors and smart locks. The door and window sensors are used to monitor the status of doors and windows, and perform abnormal status detection by linking cameras and associated equipment; the motion detectors are used to detect movement in the target area, and perform abnormal status detection by linking associated equipment; the smoke and gas detectors are used to detect smoke concentration and carbon monoxide concentration, and issue an alarm when the set threshold is exceeded; the smart lock remotely controls the door lock status and simultaneously records the door opening and closing time.

[0015] As a preferred implementation, the behavior record database in the camera records the alarm history and surveillance video, and performs secondary backup of the image data directly sent to the reporting linkage module.

[0016] As a preferred implementation, the user management module, device management module and reporting linkage module transmit data via webSocket, the port of each module directly obtains data, and when the integrated management platform displays data, the reported data is loaded in real time.

[0017] After adopting the above technical solution, the beneficial effect of the present invention is: the system effectively integrates the user management module, the device management module and the reporting linkage module through the design of a comprehensive management platform, so that users can perform device management and reporting processing on a unified platform. This centralized management improves the convenience of operation, reduces the time and energy of users switching between multiple systems, and improves management efficiency. Secondly, the user management module can effectively manage the connected user accounts and store the user information and location information in correspondence, which provides a reliable data foundation for subsequent security event tracking and user behavior analysis, and enhances the intelligence level of the system. The device management module manages the data of the associated devices, allowing the system to directly call historical data for analysis when processing reports. This data integration capability not only improves the response speed, but also ensures the accuracy of decision-making.

[0018] The abnormal behavior database and feature determination model built into the reporting linkage module enable the system to match uploaded data in real time and quickly identify potential security threats. This intelligent recognition capability greatly reduces the possibility of false alarms and missed alarms, and improves the accuracy of the system's reporting. At the same time, matching video image data with the feature determination model can provide more intuitive and specific reporting information, which is convenient for subsequent processing and response. The built-in audio and video emergency reporting host of the linkage processing unit ensures the system's stable communication capabilities in different network environments through the integration of wireless network cards and 4G cards, so that the reporting information can be quickly and reliably transmitted to the main reporting center. This mechanism significantly improves the timeliness of reporting, ensuring that relevant personnel can quickly obtain information and take necessary measures.

[0019] The system can synchronize the location information of the device that sends the alarm data to the main reporting center, and send the alarm information to the reporting sub-center that is close to the uploaded location information through the main reporting center. This integration and transmission of geographic information ensures the rapid response and processing of alarm information and improves the efficiency of security work. The user's mobile terminal that sends alarm information to the reporting sub-center at the same time further improves the user's participation and the real-time nature of information acquisition, allowing users to respond quickly in emergency situations and enhance security prevention capabilities. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] 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 labor.

[0021] Figure 1 It is a schematic diagram of signal transmission of the linkage processing unit of the present invention. DETAILED DESCRIPTION

[0022] 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.

[0023] Example:

[0024] like Figure 1 As shown, a linkage reporting management system based on AI recognition includes an integrated management platform and a linkage processing unit. The integrated management platform is equipped with a user management module, a device management module and a reporting linkage module. The user management module manages the connected user accounts, associates devices under each user account, and stores the user information and location information in a corresponding manner; the device management module manages the data of the associated devices, stores the data uploaded by the devices and imports them into the reporting linkage module at the same time; the reporting linkage module receives the data uploaded by the devices, and has an abnormal behavior database built in the reporting linkage module. After receiving the data uploaded by the devices, the received data is compared with the abnormal behavior database The pre-stored feature judgment model is used for real-time matching. In the real-time matching, the video image data in the uploaded data is matched with the standard features in the feature judgment model. After the matching is completed, the matching result is fed back to the linkage processing unit; the linkage processing unit is equipped with an audio and video emergency reporting host, and a wireless network card and a 4G card are integrated on the audio and video emergency reporting host. The main reporting center is alerted through the audio and video emergency reporting host, and the location information of the device sending the alarm data is synchronized to the main reporting center through the audio and video emergency reporting host. The main reporting center sends alarm information to the reporting sub-center that is close to the uploaded location information, and the alarm information is synchronously sent to the user mobile terminal of the reporting sub-center.

[0025] The core of the system is the integrated management platform, which has built-in user management module, device management module and reporting linkage module. The main function of the user management module is to manage the user accounts connected to the system, including user registration, login and permission allocation. At the same time, the module will record each user and the device associated with it, and save the user information and location information. This design ensures that the system can effectively manage the devices of different users, and users can easily view and control all devices associated with their accounts.

[0026] The device management module is responsible for data management of user-associated devices. In this module, the system receives data uploaded by the device in real time and stores it. At this time, the device data includes sensor data, video surveillance data, and other related information. All uploaded data will be imported into the reporting linkage module to form a complete data flow.

[0027] The key function of the reporting linkage module is the real-time monitoring and identification of abnormal behavior. When the device uploads data, the module uses the built-in abnormal behavior database for analysis. The database contains a variety of pre-stored feature determination models, and the system matches the received data with these models in real time. During the matching process, especially the video image data, it will be compared with the standard features in the database to identify potential abnormal behaviors. This process uses advanced AI recognition technology to detect abnormal situations quickly and accurately. Once the match is completed, the module will feed back the matching results to the linkage processing unit.

[0028] The linkage processing unit plays a key role in responding to and processing reports. The unit has a built-in audio and video emergency reporting host, integrated wireless network card and 4G card, which enables it to have good communication capabilities. Through the audio and video emergency reporting host, the system can send alarm information to the main reporting center, and simultaneously send the location information of the device that uploaded the alarm data. This design ensures that the reporting information can be quickly and accurately transmitted to the relevant departments.

[0029] After receiving the report information, the main reporting center will promptly send the alarm information to the reporting sub-center close to the uploading device based on the uploaded location information. This information transmission mechanism ensures the response speed and can quickly mobilize the resources of the reporting sub-center for on-site processing. At the same time, the alarm information will also be sent to the user mobile terminal of the reporting sub-center synchronously, so that relevant personnel can obtain the reported information in real time, improving the processing efficiency.

[0030] In terms of the installation process, the entire structure of the system needs to be planned first, including the deployment of the integrated management platform and the linkage processing unit. Next, the user management module is installed to ensure that user accounts can be created and managed normally. Then, the device management module is configured to connect related devices and associate data. The installation of equipment needs to follow reasonable layout principles to ensure the effectiveness of monitoring coverage and data collection.

[0031] After that, the reporting linkage module needs to train and deploy the feature determination model to ensure that the system can accurately identify abnormal behavior. For the installation of the audio and video emergency reporting host, it is necessary to ensure that its location has a good network signal and is connected to the main power supply to ensure its normal operation. In addition, the system's network connection must be fully tested to ensure that data can be smoothly transmitted to the main reporting center.

[0032] The integrated management platform mainly includes three modules, namely user management, equipment management, and reporting linkage. Reporting linkage is the core function, while user management and equipment management are the maintenance of basic information. Each customer will have an account to log in to the system, and these accounts will be maintained uniformly on the platform. Equipment management is to intuitively display the data of equipment status and whether it is operating normally on the platform, so that problems can be discovered and people can be sent to the site for repair as soon as possible after the equipment has problems.

[0033] The camera has added intelligent algorithms. When the intelligent AI algorithm recognizes that an alarm has occurred in the defense zone, it can immediately upload the alarm to the integrated management platform. The automatic recognition algorithm recognizes and reports the alarm and links it with the platform. This is the essence of the design. It binds security personnel and equipment and integrates them with the AI ​​Internet. When an emergency occurs, the device automatically recognizes and reports it, or the person concerned only needs to press a button to upload the real-time video of the incident and the reported information to the integrated management platform, and then send a special person to handle it. This greatly improves the efficiency of emergency handling, greatly reduces the time in this process, and effectively ensures the stability of social security.

[0034] The data flow link in the present invention is that the user uses the device -> the device uploads and reports data -> the integrated management platform receives the data uploaded by the device and the data carried by the device itself -> the customer service sends processing instructions according to the specific situation -> on-site feedback is given to the integrated management platform -> the platform ends after the review is completed.

[0035] The core of the present invention is that the wireless network card and 4G card are integrated on the audio and video emergency reporting host, and the device adds an AI intelligent algorithm. Through the training algorithm, it can normally identify human actions and behaviors, and then communicate and transmit information with the platform. The data link is for the reporting host to receive the reporter's distress information or automatically identify the violation, and upload the distress information to the comprehensive management platform. Since the comprehensive management platform and the device are bound, all the device reporting information can be stored in the business database, ensuring the integrity of the data.

[0036] In order to ensure the timeliness and efficiency of the management platform data, it is implemented through webSocket, listening to the port to obtain the latest data. When displaying data, it does not refresh the list, but loads the latest reported data in real time. This increases the display priority of the reported data warning in emergency situations, so that the alarm situation can be discovered more quickly, improving the processing efficiency of the staff.

[0037] The audio and video emergency reporting host also has a preset alarm synchronization notification number. While sending an alarm to the main reporting center, the alarm information is synchronized to the preset number through VoLTE high-definition calls.

[0038] The function of pre-setting the alarm synchronization notification number enables the system to send alarm information to a specific preset number through VoLTE high-definition calls while sending alarms to the main receiving center. This design greatly improves the efficiency and reliability of information transmission. Traditional reporting systems often rely on a single alarm method, usually through text messages or simple voice calls, which has limitations in the immediacy and accuracy of information transmission. In contrast, VoLTE high-definition calls can provide higher-quality audio calls and deliver more detailed and accurate alarm information in real time, ensuring that the recipient can quickly understand the urgency and specific circumstances of the situation.

[0039] The application of VoLTE technology means that the transmission of reported information is no longer limited by traditional telecommunications networks, providing a more stable and efficient communication channel. Many existing security systems may face problems such as poor signals or network congestion in emergencies, resulting in delayed or lost reported information. By taking advantage of the LTE network, VoLTE technology can maintain call quality and stability even in poor network conditions, thereby ensuring the timely delivery of reported information.

[0040] The system is also designed to be more targeted to specific people. By presetting the number for simultaneous alarm notification, the system can flexibly configure different reporting personnel or managers according to actual needs, ensuring that relevant personnel can receive alarm information as soon as possible. This flexibility is often difficult to achieve in traditional systems, which can usually only perform fixed reporting and lack the ability to provide personalized notifications based on different scenarios or event levels.

[0041] The synchronization function of VoLTE high-definition calls can not only transmit alarm information in real time, but also realize two-way communication. This two-way communication capability enables the reporting center to further confirm information or issue instructions according to the development of the situation, improving the coordination and effectiveness of emergency response. The existing reporting system is usually a one-way alarm method, lacking interaction with the reporting center, reducing the flexibility of emergency handling.

[0042] The reporting linkage module monitors the target area through cameras and sensors. The camera has a built-in behavior record database. The behavior record database records and stores the features in the feature determination model. An AI recognition algorithm is set in the behavior record database. The collected video images are recorded through the camera, and the video images are preliminarily compared with the feature determination model through the AI ​​recognition algorithm. If the comparison approximation exceeds the set threshold, the data is directly sent to the reporting linkage module.

[0043] This module uses cameras and sensors to comprehensively monitor the target area, rather than relying solely on a single data source. Traditional reporting systems often use simple sensors for status detection and lack the ability to monitor complex environments in multiple dimensions. This system, by combining cameras and sensors, can capture dynamic changes in the target area in real time, improving the ability to identify potential security threats.

[0044] The built-in behavior record database of the camera provides the system with powerful data storage and management functions. The database is not only used to store video images, but also to record and store the features in the feature determination model. This design allows the system to quickly trace back and analyze historical behavior records when an incident occurs, helping security personnel understand the background and development process of the incident. Traditional security systems usually lack such systematic behavior records, resulting in missing and one-sided information during post-event analysis.

[0045] The AI ​​recognition algorithm equipped in the system plays a key role in the monitoring process. By making a preliminary comparison of the collected video images, the system can determine in real time whether there is abnormal behavior. When the video image is compared with the feature determination model, if the comparison approximation exceeds the set threshold, the system can respond quickly and send the data directly to the reporting linkage module. This real-time, automated processing method significantly improves the accuracy and timeliness of reporting, avoids the common false alarm and missed alarm problems in traditional systems, and ensures a rapid response to security threats.

[0046] The introduction of AI recognition algorithms enables the system to learn and adapt. Over time, the system can continuously update and improve the feature determination model, thereby improving the ability to identify new threats and behavior patterns. This advantage is often difficult to achieve in traditional security systems, which usually rely on static rules and cannot adapt to changes in the environment and behavior, resulting in a gradual weakening of the prevention effect.

[0047] The design of this reporting linkage module not only improves the comprehensiveness and intelligence of security monitoring, but also provides more detailed and accurate data support for subsequent event processing. The system can promptly transmit information about abnormal behavior to relevant decision-making modules to ensure that quick action can be taken in emergency situations. This often requires manual intervention and judgment in traditional systems, which have a slow response speed.

[0048] The sensors include door and window sensors, motion detectors, smoke and gas detectors and smart locks. The door and window sensors are used to monitor the status of doors and windows, and detect abnormal conditions by linking cameras and associated equipment; the motion detectors are used to detect movement in the target area, and detect abnormal conditions by linking associated equipment; the smoke and gas detectors are used to detect smoke concentration and carbon monoxide concentration, and issue an alarm when the set threshold is exceeded; the smart lock remotely controls the door lock status and simultaneously records the door opening and closing time.

[0049] The diversity of sensors enables the system to comprehensively monitor different types of security threats. Specifically, the combination of door and window sensors, motion detectors, smoke and gas sensors, and smart locks can not only monitor physical intrusions, but also detect environmental risks. Traditional security systems often rely on simple door and window sensors or motion detectors, lacking the ability to monitor environmental changes in real time. By introducing smoke and gas sensors, this system can promptly identify potential dangers such as fire or toxic gas leaks, thereby improving the overall security prevention capabilities.

[0050] The design of door and window sensors is not only used to monitor the opening and closing status of doors and windows, but also to detect abnormal status by linking cameras and other related devices. This linkage mechanism is usually scarce in existing technologies. Traditional systems often lack timely visual confirmation when the doors and windows are in abnormal status, which can easily lead to false alarms or failure to discover real safety hazards in time. However, this system can automatically start video monitoring and provide real-time images when the doors and windows are in abnormal status by linking cameras, helping users and security personnel quickly understand the situation on site.

[0051] The application of motion detectors is also innovative. The detector is not only used to detect movement in the target area, but also to detect abnormal conditions by linking with related devices. Traditional motion detectors are usually limited to sending reporting signals and lack subsequent processing measures. When this system detects abnormal movement, it can automatically link with other devices for further response, such as turning on the camera to record the screen, notifying the user, etc., thereby providing more comprehensive security protection.

[0052] The introduction of smoke and gas sensors has also significantly enhanced the safety of the system. These sensors can monitor smoke and carbon monoxide concentrations in real time and issue warnings in a timely manner when they exceed the set thresholds. This real-time monitoring capability is lacking in many traditional security systems, which usually rely on simple reporting devices and cannot respond immediately to environmental changes. This system can quickly take corresponding measures to ensure the safety of personnel and property by detecting dangerous signals through set thresholds.

[0053] The remote control function of smart locks provides users with greater convenience and security. Smart locks can not only remotely control the door lock status, but also record the time of opening and closing the door. This function usually requires a separate security system to manage in the existing technology, but this system integrates it together, allowing users to understand the status and usage of the door lock in real time, thereby improving the control of home or business security.

[0054] The behavior record database in the camera records the alarm history and surveillance video, and performs secondary backup of the image data directly sent to the reporting linkage module. The user management module, device management module and reporting linkage module transmit data via webSocket, and the port of each module directly obtains data, and when the integrated management platform displays data, the reported data is loaded in real time.

[0055] The built-in behavior record database of the camera not only records the alarm history, but also stores the surveillance video, and also performs secondary backup of the image data sent directly to the reporting linkage module. The introduction of this function makes information tracing after an incident more convenient and comprehensive. Traditional monitoring systems usually only record relevant videos when an alarm occurs, and lack systematic historical data storage, resulting in incomplete information during event analysis and responsibility tracking. This system systematically records the alarm history and surveillance video to ensure that the background of the incident can be fully analyzed afterwards, providing more intuitive evidence support.

[0056] Data is transmitted between the user management module, device management module and reporting linkage module via webSocket. This real-time two-way communication method is not common in the existing technology. Traditional monitoring systems often rely on simpler request-response models such as HTTP, resulting in delays and inefficiencies in data transmission. However, webSocket technology allows a persistent connection to be established between the client and the server, allowing data to be transmitted in real time and in two directions. This advantage ensures that information between modules can be shared quickly, improving the system's response speed and data processing efficiency.

[0057] The port of each module can directly obtain data, further optimizing the data transmission process. Modules in traditional systems often need to rely on the middle layer for data interaction, which increases the complexity and potential delay of data transmission. The design of this system enables each module to independently obtain information from relevant data sources, reducing the complexity of the system and improving the real-time performance of data acquisition.

[0058] When displaying data on the integrated management platform, reported data can be loaded in real time. This function enhances the user's operating experience, and users can obtain the latest reported information and monitoring status in the first time. Traditional systems usually require users to manually refresh the page or wait for scheduled updates, causing delays in information acquisition and affecting timely response to security incidents. This system uses a real-time loading mechanism to ensure that users can keep abreast of on-site dynamics at any time, thereby improving the efficiency of security management.

[0059] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A linkage reporting management system based on AI recognition, characterized in that: The system comprises an integrated management platform and a linkage processing unit. The integrated management platform is built with a user management module, a device management module and a reporting linkage module. The user management module manages the user accounts that are connected, associates devices under each user account, and stores the user information and location information accordingly; the device management module manages the data of the associated devices, stores the data uploaded by the devices and imports them into the reporting linkage module at the same time; the reporting linkage module receives the data uploaded by the devices, and has an abnormal behavior database built in the reporting linkage module. After receiving the data uploaded by the devices, the received data is compared with the feature judgment model pre-stored in the abnormal behavior database. Real-time matching is performed, in which the video image data in the uploaded data is matched with the standard features in the feature judgment model, and the matching results are fed back to the linkage processing unit after the matching is completed; the linkage processing unit is equipped with an audio and video emergency reporting host, and a wireless network card and a 4G card are integrated on the audio and video emergency reporting host. An alarm is sent to the main reporting center through the audio and video emergency reporting host, and the location information of the device sending the alarm data is synchronized to the main reporting center through the audio and video emergency reporting host. The alarm information is sent to the reporting sub-center close to the uploaded location information through the reporting main center, and the alarm information is synchronously sent to the user mobile terminal of the reporting sub-center.

2. The linkage reporting management system based on AI recognition as claimed in claim 1, characterized in that: The audio and video emergency reporting host also has a preset alarm synchronization notification number. While sending an alarm to the main reporting center, the alarm information is synchronized to the preset number through VoLTE high-definition calls.

3. The linkage reporting management system based on AI recognition as claimed in claim 1, characterized in that: The reporting linkage module monitors the target area through cameras and sensors. The camera has a built-in behavior record database. The behavior record database records and stores the features in the feature determination model. An AI recognition algorithm is set in the behavior record database. The collected video images are recorded through the camera, and the video images are preliminarily compared with the feature determination model through the AI ​​recognition algorithm. If the comparison approximation exceeds the set threshold, the data is directly sent to the reporting linkage module.

4. The linkage reporting management system based on AI recognition as claimed in claim 3, characterized in that: The sensors include door and window sensors, motion detectors, smoke and gas detectors and smart locks. The door and window sensors are used to monitor the status of doors and windows, and detect abnormal conditions by linking cameras and associated equipment; the motion detectors are used to detect movement in the target area, and detect abnormal conditions by linking associated equipment; the smoke and gas detectors are used to detect smoke concentration and carbon monoxide concentration, and issue an alarm when the set threshold is exceeded; the smart lock remotely controls the door lock status and simultaneously records the door opening and closing time.

5. The linkage reporting management system based on AI recognition as claimed in claim 3, characterized in that: The behavior record database in the camera records the alarm history and surveillance video, and performs secondary backup of the image data directly sent to the reporting linkage module.

6. The linkage reporting management system based on AI recognition as claimed in claim 1, characterized in that: The user management module, the device management module and the reporting linkage module transmit data via webSocket, the port of each module directly obtains data, and when the data is displayed on the integrated management platform, the reported data is loaded in real time.

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