A big data security monitoring system
By using a big data security monitoring system, image acquisition modules and numerical conversion technology are employed to generate anomaly and risk values, and emergency response equipment is controlled. This solves the problem of low intelligence levels in existing monitoring systems and enables efficient anomaly detection with unmanned monitoring.
CN117975361BActive Publication Date: 2026-07-24URUMQI BIG DATA IND DEVELOPMENT INVESTMENT CO LTD
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Patent Information
- Application Number
- CN202410124160.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-01-29
- Publication Date
- 2026-07-24
- Estimated Expiration
- 2044-01-29
AI Technical Summary
Technical Problem
The existing camera-based area monitoring process has a low level of intelligence, requires dedicated monitoring personnel, resulting in high labor costs and difficulty in quickly detecting anomalies.
Method used
The big data security monitoring system uses an image acquisition module to acquire scene images, perform numerical conversion and target distribution calculations, generate anomaly and risk values, and control emergency equipment such as alarms and security doors, reducing reliance on monitoring personnel.
Benefits of technology
It enables the rapid detection of anomalies without the need for dedicated monitoring personnel, optimizes labor costs, and improves the intelligence level of the monitoring system.
✦ Generated by Eureka AI based on patent content.
Abstract
The application relates to the field of regional security management, and particularly discloses a big data security monitoring system, which comprises an image acquisition module, an image application module, a supply data detection module and an emergency end control module. The image acquisition module is used for inserting an information reader into a camera network to acquire scene images under dynamic frequency by the information reader. The image application module is used for carrying out numerical conversion on the scene images, and determining target distribution in a region according to the converted values. The supply data detection module is used for calculating a demand value according to the target distribution, randomly detecting supply data according to the demand value, and outputting a risk value according to a detection result. The emergency end control module is used for generating a control instruction pointing to an emergency end, and sending the control instruction to the corresponding emergency end. The application acquires images through a monitoring system, carries out contour recognition on the images, further determines energy supply parameters required by the images, identifies actual energy supply parameters according to the energy supply parameters, judges the risk value, accurately and timely generates reminding information, and reports the reminding information to senior management personnel.
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