CN-122018839-A - AI intelligent alarm event analysis method and system
Abstract
The invention discloses an AI intelligent alarm event analysis method and system, comprising the following steps of receiving alarm information uploaded by monitoring equipment, calling an AI model to carry out intelligent analysis on an alarm picture in response to determining that the monitoring equipment has opened an AI alarm service, generating an AI analysis result comprising a scene description text and at least one event label, and generating and storing a recombined alarm message based on the AI analysis result. The AI intelligent alarm event analysis method and system provided by the invention construct a full-flow AI alarm event analysis system of alarm acquisition, intelligent analysis, accurate pushing, intelligent retrieval and feedback optimization, realize deep analysis and efficient utilization of alarm information, and solve the problems of low information value and low retrieval efficiency of the traditional alarm system.
Inventors
- CHEN SHAONENG
- LI ZHIHUI
- LUO HUAQIN
- WU JIANWEI
Assignees
- 广州市宏视信息技术有限公司
Dates
- Publication Date
- 20260512
- Application Date
- 20260206
Claims (9)
- 1. An AI intelligent alarm event analysis method is characterized by comprising the following steps: s1, receiving an alarm message uploaded by monitoring equipment, wherein the alarm message at least comprises an alarm picture; s2, responding to the fact that the monitoring equipment opens the AI alarm service, calling an AI model to conduct intelligent analysis on the alarm picture, and generating an AI analysis result comprising a scene description text and at least one event label; s3, generating and storing a reorganization alarm message based on the AI analysis result; And S4, providing an alarm event interaction interface at the client, dynamically adapting and displaying corresponding functional modules and information according to the service state and authority of the monitoring equipment, and displaying at least the scene description text and/or the event label for the alarm event of the opened service.
- 2. The method for analyzing an AI intelligent alarm event according to claim 1, wherein the step of providing an alarm event interactive interface at the client comprises: And providing an intelligent retrieval module in the interface, responding to the keyword or the selected event label input by the user, carrying out matching retrieval from the stored reorganization alarm message, and returning an alarm event list matched with the retrieval condition.
- 3. The AI-intelligent warning event analysis method of claim 2, wherein the intelligent search module supports switching of query dates after selection of search conditions and reinitiates search to update results based on current search conditions and switched dates.
- 4. The AI intelligent warning event analysis method of claim 1, further comprising the step of personalizing the configuration: Providing a configuration interface for a user to set an output language of the scene description text and an AI alarm service switch aiming at the monitoring equipment; And when the alarm picture is displayed, controlling whether to display an identification frame drawn based on the target coordinate information in the AI analysis result according to the switch configuration locally stored by the user through the client.
- 5. The AI intelligent warning event analysis method of claim 1, wherein the "dynamic adaptation" specifically comprises: And controlling the display of an AI function field in the interactive interface and corresponding interactive logic for guiding opening or function shielding when clicking the AI function field according to whether the monitoring equipment is the own equipment of the current user and whether the AI alarm service is opened.
- 6. The AI intelligent warning event analysis method of claim 1, further comprising the steps of user feedback and optimization: providing a feedback entry for a single alarm event in the interactive interface; and collecting and storing feedback data which is submitted by a user through the feedback inlet and is associated with the alarm event identification, and using the feedback data for the optimization training of the AI model.
- 7. The method for analyzing the AI intelligent alarm event according to claim 1, further comprising pushing an alarm notification to a user by using the scene description text as pushing content after the AI analysis result is generated.
- 8. A system for implementing the AI intelligent warning event analysis method of any one of claims 1 to 7, wherein the system comprises a background service unit and a client unit; the background service unit comprises: the message processing module is used for receiving the alarm message and judging the AI service state of the monitoring equipment; the AI analysis module is used for intelligently analyzing the alarm picture and generating an AI analysis result containing the scene description text and the event label; The data management module is used for storing the reorganization alarm message generated based on the AI analysis result and providing retrieval service; the client unit includes: and the adaptation display module is used for rendering and displaying the dynamically adapted alarm event interaction interface and the corresponding information according to the equipment service state and the user permission.
- 9. The system of claim 8, wherein the client unit further comprises: The intelligent retrieval module is used for receiving retrieval or screening operation of a user and calling a retrieval service acquisition result of the background service unit; And the configuration and feedback module is used for providing a personalized service configuration interface and a user feedback inlet.
Description
AI intelligent alarm event analysis method and system Technical Field The invention relates to the technical field of intelligent security, in particular to an AI intelligent alarm event analysis method and system. Background In the security monitoring field, a plurality of pain points exist in the traditional alarm system generally, the requirements of users on efficient and accurate alarm analysis are difficult to meet, on one hand, the number of alarm events triggered by monitoring equipment is huge and the types of the alarm events are complicated, the users need to manually screen key contents in massive alarm information, time and labor are consumed, and important events are extremely easy to miss, on the other hand, the traditional alarm can only provide basic alarm prompts, detailed description and accurate classification of alarm scenes are lacking, the users cannot quickly know core information of the alarm events, and the practicability of alarm analysis is greatly compromised. Meanwhile, the existing alarm system has obvious functional limitations that an intelligent searching and screening mechanism is lacking, a user is difficult to quickly locate an alarm event of a specific type or a specific scene, the presentation form of alarm information is single, deep analysis of an alarm picture is realized without combining an AI technology, service configuration flexibility is insufficient, service parameters cannot be adjusted according to personalized requirements such as user language preference, use habit and the like, and the use authority and management logic of different equipment and different accounts on alarm services lack clear and intelligent adaptation mechanisms, so that user experience is affected. Therefore, an intelligent alarm event analysis scheme integrating the AI technology is urgently needed, the problems of low efficiency, insufficient precision, low individuation degree and the like of the existing alarm system are solved, and the alarm analysis use experience of a user is improved. Disclosure of Invention In order to solve the technical problems, the invention provides an AI intelligent alarm event analysis method and system, which can realize intelligent identification and deep analysis of alarm pictures, automatically generate scene description and accurate labels, and enable users to quickly master alarm event core information. The method provides an efficient alarm event retrieval function, supports keyword searching and label screening, and helps users to quickly locate target events in massive alarm data. A flexible and configurable service system is constructed, personalized setting of service parameters according to language preference, use requirements and the like is supported for a user, and the service system is adapted to use requirements in different scenes. And an intelligent authority management and service adaptation mechanism is established, so that service use and management authorities of different devices (owned devices/shared devices) and different accounts are defined, and the safety and rationality of service use are ensured. And (3) constructing a user feedback mechanism, collecting the evaluation of the user on the alarm recognition accuracy, providing data support for model optimization, and continuously improving the alarm recognition accuracy. The invention provides an AI intelligent alarm event analysis method, which comprises the following steps: s1, receiving an alarm message uploaded by monitoring equipment, wherein the alarm message at least comprises an alarm picture; s2, responding to the fact that the monitoring equipment opens the AI alarm service, calling an AI model to conduct intelligent analysis on the alarm picture, and generating an AI analysis result comprising a scene description text and at least one event label; s3, generating and storing a reorganization alarm message based on the AI analysis result; And S4, providing an alarm event interaction interface at the client, dynamically adapting and displaying corresponding functional modules and information according to the service state and authority of the monitoring equipment, and displaying at least the scene description text and/or the event label for the alarm event of the opened service. Preferably, the step of providing the alarm event interaction interface at the client specifically includes: And providing an intelligent retrieval module in the interface, responding to the keyword or the selected event label input by the user, carrying out matching retrieval from the stored reorganization alarm message, and returning an alarm event list matched with the retrieval condition. Preferably, the intelligent search module supports switching the search date after selecting the search condition, and reinitiates the search based on the current search condition and the switched date to update the result. Preferably, the method further comprises a personalized configuration step: Pro